CN107291233A - Wear vision optimization system, intelligent terminal and the helmet of 3D display devices - Google Patents
Wear vision optimization system, intelligent terminal and the helmet of 3D display devices Download PDFInfo
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- CN107291233A CN107291233A CN201710474423.0A CN201710474423A CN107291233A CN 107291233 A CN107291233 A CN 107291233A CN 201710474423 A CN201710474423 A CN 201710474423A CN 107291233 A CN107291233 A CN 107291233A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B27/0172—Head mounted characterised by optical features
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- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B7/00—Mountings, adjusting means, or light-tight connections, for optical elements
- G02B7/02—Mountings, adjusting means, or light-tight connections, for optical elements for lenses
- G02B7/04—Mountings, adjusting means, or light-tight connections, for optical elements for lenses with mechanism for focusing or varying magnification
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- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/0132—Head-up displays characterised by optical features comprising binocular systems
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Abstract
Optimize system the invention provides a kind of vision for wearing 3D display devices, including:Visualization module, is configured to as left eye and right eye display electronic image;Virtual coordinates module, it is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system, the plane where second virtual image seen by right eye sets up the second rectangular coordinate system, position of first virtual image in the first rectangular coordinate system is fixed, and position of second virtual image in the second rectangular coordinate system is fixed;This vision optimization system for wearing 3D display devices obtains the optimal diopter of focus-variable lens according to the blinkpunkt of eyes of user and the standard diopter of eyes, then the diopter of focus-variable lens is correspondingly adjusted, purpose is to allow user when watching electron image, ciliary muscle is tried one's best in the state loosened, ciliary muscle is effectively prevented because remaining retracted state for a long time, cause muscle spasmus, it is ensured that user is using will not damage the health of eyes during such product.
Description
Technical field
The present invention relates to wearing display device technical field, more particularly to a kind of vision optimization system for wearing 3D display devices
System, intelligent terminal and helmet.
Background technology
Wearing display device includes:Virtual reality (VR) display, such as by Sony, Samsung, Oculus,
Those manufactured by CarlZeiss;Head mounted display (HMD), those such as produced by Google and Vuzix;Enhancing
Real (AR) display, such as those manufactured by Microsoft, Vuzix and DigiLens;And mixing enhancing (MR) etc.
Other similar devices.This kind equipment is visual " feeling of immersion " to the most important experience of user, allows image content to cover completely
Your visual field is covered, is not disturbed by actual environment, is seemingly immersed among another world, principle is by two pieces of convex lens
The virtual image of an electron image is produced in the homonymy of electronic curtain, user sees bigger than actual electron image through convex lens
The virtual image, and the virtual image is close apart from the eyes of user, and therefore electron image covers the visual field of user.
There is a structure for being " crystalline lens " in our eyeball, crystalline lens is connected by ciliary zonule with ciliary body,
The contraction and diastole of ciliary muscle can change curvature of lens in ciliary body, and ciliary muscle, just as the person of low position of a pulling force, is being hauled
Crystalline lens changes its thickness, and to adjust the scenery of distance, imaging is on the retina.What crystalline lens can be deformed equivalent to one
Convex lens, ciliary muscle changes lenticular shape to adjust lenticular diopter, and when ciliary muscle loosens, crystalline lens is drawn
Flat thinning, diopter diminishes, at this moment it may be seen that the scenery of distant place, when ciliary muscle contraction, crystalline lens is thickening, bends
Luminosity is uprised, when being at this moment exactly that we will see nearby scenery.If the state long time that ciliary muscle is remained retracted, just hold
Easy muscle spasmus, ciliary muscle will deform, and adjust lenticular ability and decline, crystalline lens is also deformed therewith, causes crystalline lens
Standard diopter (under ciliary muscle relaxation state) is improved, and the adjustable range of diopter declines, just into the myopia being commonly called as.
Although head-mounted display apparatus can give people feeling of immersion on the spot in person, the virtual image of electron image is apart from eyeball
Closer, equivalent to the viewing electronic curtain kept closely, ciliary muscle will be nervous for a long time as holding described above
State, causes myopia.
The content of the invention
The technical problem to be solved in the present invention is:When being used for head-mounted display apparatus at present on the market for user
Between it is long, eyes produce fatigue, and the problem of causing visual impairment do not have effective solution, worn the invention provides one kind
The vision of 3D display devices optimizes system, intelligent terminal and helmet to solve the above problems.
The technical solution adopted for the present invention to solve the technical problems is:A kind of vision optimization system for wearing 3D display devices
System, including:
Visualization module, is configured to as left eye and right eye display electronic image;
Virtual coordinates module, is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system,
The plane where second virtual image seen by right eye sets up the second rectangular coordinate system, and first virtual image is in the first rectangular coordinate system
Position fix, position of second virtual image in the second rectangular coordinate system is fixed;
Initial module, is configured as demarcating the head initial position of user, left when the head of user is in into initial position
The positive apparent direction of eye is Q0, and the positive apparent direction of right eye is Q0 ', the positive apparent direction Q0 perpendicular to plane where first virtual image and
Sight of the left eye along positive apparent direction Q0 is concentrated on the first virtual image central point O, and the positive apparent direction Q0 ' is perpendicular to the second virtual image institute
Concentrated in the sight of plane and right eye along positive apparent direction Q0 ' on the second virtual image central point O ';
Calling module, is configured as obtaining the standard diopter D0 of left eye, obtains between left eye and the first virtual image central point O
Air line distance be L0;Obtain the standard diopter D0 ' of right eye, obtain straight line between right eye and the second virtual image central point O ' away from
From for L0 ';
Detection module is faced, is configured as detecting the head form of user, obtains the positive apparent direction Q1 and right eye of left eye
Positive apparent direction Q1 ';
Optimal diopter generation module, is configured as obtaining left eye according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0
The air line distance between blinkpunkt O1 and left eye in first virtual image is L1, and a left side is obtained according to apart from L1 and standard diopter D0
The real-time optimal diopter D1 of eye;Right eye is obtained in second virtual image according to apart from L0 ', positive apparent direction Q1 ' and positive apparent direction Q0 '
Blinkpunkt O1 ' and right eye between air line distance be L1 ', it is real-time according to right eye is obtained apart from L1 ' and standard diopter D0 '
Optimal diopter D1 ';
Adjustment module, adjusts focus-variable lens, and the diopter for making region of the focus-variable lens before the crystalline lens of left eye is D1,
Focus-variable lens are adjusted, the diopter for making region of the focus-variable lens before the crystalline lens of right eye is D1 '.
Preferably, also including:
Threshold value acquisition module is trained, is configured as obtaining the diopter instruction of left eye according to standard diopter D0 and diopter D1
Practice lower limit fit_min and diopter training upper limit fit_max, determine the diopter training unit fit_offset of left eye;By with
It is set to diopter training lower limit fit_min ' and the diopter training that right eye is obtained according to standard diopter D0 ' and diopter D1 '
Upper limit fit_max ', determines the diopter training unit fit_offset ' of right eye;
Training module, is configured for:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset
>=fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its bending before the crystalline lens of left eye
Luminosity consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m has been trained
Take turns number;
Training module is additionally configured to carry out:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+
Fit_offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in right eye
Diopter before crystalline lens is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_
min’+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just
Deconditioning, wherein m are the wheel number trained.
As preferred:
The calling module is additionally configured to obtain the age F of user, and the optimal diopter generation module is configured as
Optimal diopter D1 in real time is obtained according to age F, apart from L1 and standard diopter D0, according to age F, apart from L1 ' and standard
Diopter D0 ' obtains optimal diopter D1 ' in real time.
Training threshold value acquisition module is configured as obtaining diopter instruction according to age F, standard diopter D0 and diopter D1
Practice lower limit fit_min and diopter training upper limit fit_max, determine diopter training unit fit_offset;According to age F,
Standard diopter D0 ' and diopter D1 ' obtain diopter training lower limit fit_min ' and diopter training upper limit fit_max ', really
Determine diopter training unit fit_offset '.
Preferably, also including:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at left eye crystalline lens before region diopter D2, according to statistical result will
Apart from L1, standard diopter D0 and age F as condition, diopter D2 sets up table 1 as a result;
The optimal diopter generation module is configured as passing through inquiry according to age F, apart from L1 and standard diopter D0
Table 1 obtains diopter D1;
The right eye that sample analysis module is additionally configured to count several users is watched in second virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at right eye crystalline lens before region diopter D2', according to statistical result
Will be apart from L1 ', standard diopter D0 ' and age F as condition, diopter D2 ' sets up table 2 as a result;
The optimal diopter generation module is configured as according to age F, apart from L1 ' and standard diopter D0 ' by looking into
Inquiry table 2 obtains diopter D1 '.
Preferably, also including:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at left eye crystalline lens before region diopter D2, set according to statistical result
Determine maximum distance Lmax, work as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out linear regression acquisition to statistical result
Linear function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;The optimal diopter generation
Module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1=D0*f2 (F);
Sample analysis module be also configured to count several users right eye watch attentively in second virtual image difference and
Obtain most clearly visual effect when, focus-variable lens be located at right eye crystalline lens before region diopter D2', according to statistics tie
Fruit setting maximum distance Lmax ', works as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), function f1 is that statistical result is carried out linearly
Return the linear function obtained;As L1 ' >=Lmax ', D1 '=D0 ' * f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), work as L1 ' >=
During Lmax ', D1 '=D0 ' * f2 (F).
As preferred:The training threshold value acquisition module is configured as:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample
Statistics, function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample
Statistics, function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is set up, function f5 is linear equation;
Formula fit_min '=f3 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_min' of effect is used as sample
This progress is counted, and function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max '=f4 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_max' of effect is used as sample
This progress is counted, and function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset '=f5 (fit_min ', fit_max ') is set up, function f5 is linear equation.
As preferred:The calling module is additionally configured to obtain the interpupillary distance P of user;
The training threshold value acquisition module is configured as:Set up formula fit_min=f3 (F, D0, P, D1), formula fit_
Max=f4 (F, D0, P, D1), formula fit_min '=f3 (F, D0 ', P, D1 '), formula fit_max '=f4 (F, D0 ', P,
D1’)。
As preferred:Also include partition module, be configured as:
In first virtual image, using intersection point O1 as the center of circle, the border circular areas using R as radius is the main field of regard of left eye, and first is empty
As the secondary field of regard that other parts are left eye,
In second virtual image, with intersection point O1 ' for the center of circle, using border circular areas that R ' is radius as the main field of regard of right eye, second
Virtual image other parts are the secondary field of regard of right eye;
The visualization module is additionally configured to improve the image quality of the main field of regard of left eye and/or reduces the secondary note of left eye
The image quality of the image quality of vision area, the image quality for improving the main field of regard of right eye and/or the secondary field of regard for reducing right eye.
As preferred:Also include having at least one user data, the use in customer data base, the customer data base
User data includes No. ID, identity information, age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, the identity information
Including character string, voice print database, finger print data and/or iris data.
Preferably, also including:
Input module, is configured as obtaining checking information;
Authentication module, is configured as being verified checking information with the identity information in the user data, and checking is logical
Later take out and using age F, standard diopter D0, standard diopter D0 ' and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
Present invention also offers a kind of intelligent terminal, including:
Communication module, is configured as and helmet data interaction;
Receiving module, is configured as obtaining the head initial position of the user of helmet demarcation, and display device is worn in acquisition
Detect the head form of user;
Visualization module, is configured to as left eye and right eye display electronic image;
Virtual coordinates module, is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system,
The plane where second virtual image seen by right eye sets up the second rectangular coordinate system, and first virtual image is in the first rectangular coordinate system
Position fix, position of second virtual image in the second rectangular coordinate system is fixed;
Initial module, when being configured as the head of user being in initial position, the positive apparent direction of left eye is Q0, right eye
Positive apparent direction is Q0 ', sights of the positive apparent direction Q0 perpendicular to plane and left eye where first virtual image along positive apparent direction Q0
Concentrate on the first virtual image central point O, the positive apparent direction Q0 ' is perpendicular to plane where second virtual image and the right eye edge side of facing
Concentrated on to Q0 ' sight on the second virtual image central point O ';
Calling module, is configured as obtaining the standard diopter D0 of left eye, obtains between left eye and the first virtual image central point O
Air line distance be L0;Obtain the standard diopter D0 ' of right eye, obtain straight line between right eye and the second virtual image central point O ' away from
From for L0 ';
Detection module is faced, is configured as obtaining the positive apparent direction Q1 of left eye and the positive apparent direction Q1 ' of right eye;
Optimal diopter generation module, is configured as obtaining left eye according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0
The air line distance between blinkpunkt O1 and left eye in first virtual image is L1, and a left side is obtained according to apart from L1 and standard diopter D0
The real-time optimal diopter D1 of eye;Right eye is obtained in second virtual image according to apart from L0 ', positive apparent direction Q1 ' and positive apparent direction Q0 '
Blinkpunkt O1 ' and right eye between air line distance be L1 ', it is real-time according to right eye is obtained apart from L1 ' and standard diopter D0 '
Optimal diopter D1 ';
Sending module, is configured as sending diopter D1 and diopter D1 ' to helmet.
Preferably, also including:
Threshold value acquisition module is trained, is configured as obtaining the diopter instruction of left eye according to standard diopter D0 and diopter D1
Practice lower limit fit_min and diopter training upper limit fit_max, determine the diopter training unit fit_offset of left eye;By with
It is set to diopter training lower limit fit_min ' and the diopter training that right eye is obtained according to standard diopter D0 ' and diopter D1 '
Upper limit fit_max ', determines the diopter training unit fit_offset ' of right eye;
The sending module be additionally configured to by diopter training lower limit fit_min, diopter training upper limit fit_max,
Diopter training unit fit_offset, diopter training lower limit fit_min ', diopter training upper limit fit_max ' and dioptric
Training unit fit_offset ' is spent to send to helmet.
As preferred:
The calling module is additionally configured to obtain the age F of user, and the optimal diopter generation module is configured as
Optimal diopter D1 in real time is obtained according to age F, apart from L1 and standard diopter D0, according to age F, apart from L1 ' and standard
Diopter D0 ' obtains optimal diopter D1 ' in real time;
Training threshold value acquisition module is configured as obtaining diopter instruction according to age F, standard diopter D0 and diopter D1
Practice lower limit fit_min and diopter training upper limit fit_max, determine diopter training unit fit_offset;According to age F,
Standard diopter D0 ' and diopter D1 ' obtain diopter training lower limit fit_min ' and diopter training upper limit fit_max ', really
Determine diopter training unit fit_offset '.
Preferably, also including:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at left eye crystalline lens before region diopter D2, according to statistical result will
Apart from L1, the standard diopter D0 of user and age F as condition, diopter D2 sets up table 1 as a result;Count several use
The right eye at family watch attentively in second virtual image difference and obtain most clearly visual effect when, focus-variable lens are located at the crystalline of right eye
The diopter D2' in the region before body, bar will be used as according to statistical result apart from L1 ', the standard diopter D0 ' of user and age F
Part, diopter D2 ' sets up table 2 as a result;
The optimal diopter generation module is configured as passing through inquiry according to age F, apart from L1 and standard diopter D0
Table 1 obtains diopter D1, and diopter D1 ' is obtained according to age F, apart from L1 ' and standard diopter D0 ' by inquiry table 2.
Preferably, also including:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at left eye crystalline lens before region diopter D2, set according to statistical result
Determine maximum distance Lmax, work as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out linear regression acquisition to statistical result
Linear function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax,
D1=D0*f2 (F);
The right eye that sample analysis module is additionally configured to count several users is watched in second virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at right eye crystalline lens before region diopter D2', according to statistical result
Maximum distance Lmax ' is set, works as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), function f1 is that statistical result is linearly returned
Return the linear function of acquisition;As L1 ' >=Lmax ', D1 '=D0 ' * f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), work as L1 ' >=
During Lmax ', D1 '=D0 ' * f2 (F).
As preferred:The training threshold value acquisition module is configured as:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample
Statistics, function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample
Statistics, function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is set up, function f5 is linear equation;
Formula fit_min '=f3 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_min' of effect is used as sample
This progress is counted, and function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max '=f4 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_max' of effect is used as sample
This progress is counted, and function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset '=f5 (fit_min ', fit_max ') is set up, function f5 is linear equation.
As preferred:The calling module is additionally configured to obtain the interpupillary distance P of user;
The training threshold value acquisition module is configured as:Set up formula fit_min=f3 (F, D0, P, D1), formula fit_
Max=f4 (F, D0, P, D1), formula fit_min '=f3 (F, D0 ', P, D1 '), formula fit_max '=f4 (F, D0 ', P,
D1’)。
As preferred:Also include partition module, be configured as:
In first virtual image, using intersection point O1 as the center of circle, the border circular areas using R as radius is the main field of regard of left eye, and first is empty
As the secondary field of regard that other parts are left eye,
In second virtual image, with intersection point O1 ' for the center of circle, using border circular areas that R ' is radius as the main field of regard of right eye, second
Virtual image other parts are the secondary field of regard of right eye;
The visualization module is additionally configured to improve the image quality of the main field of regard of left eye and/or reduces the secondary note of left eye
The image quality of the image quality of vision area, the image quality for improving the main field of regard of right eye and/or the secondary field of regard for reducing right eye.
Preferably, also including:
Have at least one user data in customer data base, the customer data base, the user data include No. ID,
Identity information, age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, the identity information include character string, vocal print
Data, finger print data and/or iris data;
The receiving module is additionally configured to receive checking information from helmet;
Authentication module, is configured as being verified checking information with the identity information in the user data, and checking is logical
Later take out and using age F, standard diopter D0, standard diopter D0 ' and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
Present invention also offers a kind of helmet, including:
Communication module, is configured to interact with Intelligent terminal data;
Head detector module, is configured as demarcating the head initial position of user, detects the head form of user;
Sending module, is configured as sending the head initial position and head form of user to intelligent terminal;
Receiving module, is configured as receiving the optimal diopter D1 of the left eye and optimal diopter D2 of right eye;
Adjustment module, is configured as adjusting focus-variable lens, makes bending for region of the focus-variable lens before the crystalline lens of left eye
Luminosity is D1, adjusts focus-variable lens, and the diopter for making region of the focus-variable lens before the crystalline lens of right eye is D1 '.
Preferably, the receiving module is configured as receiving the diopter training lower limit fit_min of left eye, diopter instruction
Practice upper limit fit_max and diopter training unit fit_offset, receive diopter training lower limit fit_min ', the dioptric of right eye
Degree training upper limit fit_max ' and diopter training unit fit_offset ', the helmet also includes:
Training module, is configured for:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset
>=fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its bending before the crystalline lens of left eye
Luminosity consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m has been trained
Take turns number;
Training module is additionally configured to carry out:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+
Fit_offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in right eye
Diopter before crystalline lens is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_
min’+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just
Deconditioning, wherein m are the wheel number trained.
Preferably, also including:
Input module, is configured as obtaining checking information;Sending module is additionally configured to send checking information to intelligence
Terminal.
The beneficial effects of the invention are as follows this vision optimization system the watching attentively according to eyes of user for wearing 3D display devices
Point obtains the optimal diopter of focus-variable lens with the standard diopter of eyes, then correspondingly adjusts the dioptric of focus-variable lens
Degree, it is therefore an objective to allow user when watching electron image, ciliary muscle is tried one's best in the state loosened, effectively prevents ciliary muscle because long
Time remains retracted state, causes muscle spasmus, it is ensured that user is using will not damage the health of eyes during such product.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the frame diagram of the optimum embodiment of the vision for the wearing 3D display devices optimization system of the present invention.
Fig. 2 is the frame diagram of the optimum embodiment of the intelligent terminal of the present invention.
Fig. 3 is the frame diagram of the optimum embodiment of the helmet of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not considered as limiting the invention.
In the description of the invention, it is to be understood that term " " center ", " longitudinal direction ", " transverse direction ", " length ", " width ",
" thickness ", " on ", " under ", "front", "rear", "left", "right", " vertical ", " level ", " top ", " bottom " " interior ", " outer ", " axial direction ",
The orientation or position relationship of the instructions such as " radial direction ", " circumference " are based on orientation shown in the drawings or position relationship, merely to just
In the description present invention and simplify description, rather than indicate or imply signified device or element must have specific orientation, with
Specific azimuth configuration and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " etc. are only used for describing purpose, and it is not intended that indicating or implying relatively important
Property.In the description of the invention, it is necessary to which explanation, unless otherwise clearly defined and limited, term " connected ", " connection " should
It is interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or is integrally connected;Can be that machinery connects
Connect or electrically connect;Can be joined directly together, can also be indirectly connected to by intermediary.For the common of this area
For technical staff, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.In addition, in description of the invention
In, unless otherwise indicated, " multiple " are meant that two or more.
As shown in figure 1, optimizing system the invention provides a kind of vision for wearing 3D display devices, this system is for using
To the optimization system of user's vision during the viewing 3D electron images of family, including:
Visualization module, is configured to as left eye and right eye display electronic image;
Virtual coordinates module, is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system,
The plane where second virtual image seen by right eye sets up the second rectangular coordinate system, position of first virtual image in the first rectangular coordinate system
Fixation is put, position of second virtual image in the second rectangular coordinate system is fixed;
Initial module, is configured as demarcating the head initial position of user, left when the head of user is in into initial position
The positive apparent direction of eye is Q0, and the positive apparent direction of right eye is Q0 ', and positive apparent direction Q0 is perpendicular to plane where first virtual image and left eye
Concentrated on along positive apparent direction Q0 sight on the first virtual image central point O, coordinate is (x0, y0), and positive apparent direction Q0 ' is perpendicular to second
The sight of plane and right eye where the virtual image along positive apparent direction Q0 ' is concentrated on the second virtual image central point O ', coordinate for (x0 ',
y0’).After equipment starts, the position of the virtual image in the planes is just determined, afterwards will not changing with the positive apparent direction of user
Become and change position;Positive apparent direction refers to what form no matter the head of user be in, eyes all the time in loosen and not to
The direction of visual lines during state that any direction is rotated;
Calling module, is configured as obtaining the standard diopter D0 of left eye, obtains between left eye and the first virtual image central point O
Air line distance be L0;Obtain the standard diopter D0 ' of right eye, obtain straight line between right eye and the second virtual image central point O ' away from
From for L0 ';In an example, the standard diopter of two eyes of user is stored in the memory that equipment has in itself,
Calling module directly calls the standard diopter of two from memory.Due to the position of focus-variable lens, convex lens and display screen
It is relatively fixed, then what the position of left eye and first virtual image was also to determine, then straight between left eye and the first virtual image central point O
Linear distance L0 may be considered a definite value, is also so, to call apart from L0 ' apart from L0 and apart from L0 ' storages in memory
Module is directly invoked;In another example, the distance between standard diopter and eyes and virtual image central point are stored in one
In platform server, server access internet wears display device and also accesses internet, calling module calls use from server
The distance between standard diopter and eyes and virtual image central point of family eyes;
Detection module is faced, is configured as detecting the head form of user, obtains the positive apparent direction Q1 and right eye of left eye
Positive apparent direction Q1 ';Positive apparent direction during in order to determine that user swings head, by two institutes when people is upright and head is ajusted
Perpendicular as reference plane, reference plane is in the state of geo-stationary with head all the time, and the head of people is in three-dimensional sit
In mark system, the head form of user is detected by three-axis gyroscope, obtained space vector is flat where reference plane to determine
Face, the positive apparent direction of eyes is vertical with reference plane, so that the positive apparent direction Q1 of left eye and the positive apparent direction Q1 ' of right eye are obtained, by
It is that, on a display screen by picture split screen, for 3D images, screen or so two parts are played not simultaneously in wearing display device
Same image, two eyes are watched respectively, and a virtual image can be respectively seen in two eyes, therefore blinkpunkt O1 is exactly from user
The intersection point of first virtual image seen with left eye of the ray that is sent along positive apparent direction Q1 of left eye, blinkpunkt O1 ' is exactly from user's
The intersection point for second virtual image that the ray that right eye is sent along positive apparent direction Q1 ' is seen with right eye;
Optimal diopter generation module, is configured as obtaining left eye according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0
The air line distance between blinkpunkt O1 and left eye in first virtual image is L1, according to apart from L0 ', positive apparent direction Q1 ' and facing
The air line distance that direction Q0 ' obtains between blinkpunkt O1 ' and right eye of the right eye in second virtual image is L1 ':Calculate positive apparent direction
Angle α between Q1 and positive apparent direction Q0, because the position of first virtual image is changeless, positive apparent direction Q0 is perpendicular to first
The sight of plane and eyes along positive apparent direction Q0 passes through virtual image central point O where the virtual image, then according to the side of right angled triangle
Long calculation formula, using, as the length of a right-angle side, angle α is as an acute angle, and calculating obtains left eye the apart from L0
The distance between the air line distance between blinkpunkt O1 and left eye in one virtual image is L1, and blinkpunkt O1 and central point O, from
And blinkpunkt O1 coordinate is determined, above calculating can be carried out apart from L1 process when user is using equipment, can also be advance
Calculated, by different positive apparent direction correspondences accordingly apart from L1, form list, user is using directly basis is faced during equipment
Direction Q1 goes to inquire about this table, obtains corresponding apart from L1;Using identical method, according to apart from L0 ', positive apparent direction Q1 ' and just
The air line distance that apparent direction Q0 ' obtains between blinkpunkt O1 ' and right eye of the right eye in second virtual image is L1 ';Optimal diopter
Generation module is additionally configured to obtain left eye optimal diopter D1 in real time according to apart from L1 and standard diopter D0, according to distance
L1 ' and standard diopter D0 ' obtain right eye optimal diopter D1 ' in real time:System also includes sample analysis module, is configured as
Count several users left eye watch attentively in first virtual image difference and obtain most clearly visual effect when, focus-variable lens position
Diopter D2 in the region before the crystalline lens of left eye, the process of sampling needs user to obtain most clearly visual effect in left eye
When give one confirmation signal of equipment (can be connected by an acknowledgement key with control chip to gather confirmation signal), equipment is received
The diopter D2 of focus-variable lens before the left eye of signal record now, providing confirmation signal can also allow another people to coordinate with user
To be operated;Will be apart from L1 and standard diopter D0 as condition according to statistical result, diopter D2 sets up table as a result
1, afterwards optimal diopter generation module be additionally configured to obtain dioptric by inquiry table 1 according to apart from L1 and standard diopter D0
Spend D1;The right eye that sample analysis module is additionally configured to count several users is watched in second virtual image difference attentively and obtained most
Clearly during visual effect, focus-variable lens are located at the diopter D2' in the region before the crystalline lens of right eye, will be away from according to statistical result
From L1 ' and standard diopter D0 ' as condition, diopter D2 ' sets up table 2 as a result, afterwards optimal diopter generation module
It is additionally configured to obtain diopter D1 ' by inquiry table 2 according to apart from L1 ' and standard diopter D0 ';Setting up Tables 1 and 2
When, can also be using the other information of user as condition, in another example, calling module is additionally configured to obtain user's
Age F, sample analysis module is configured as being used as condition, diopter D2 using age F, apart from the standard diopter D0 of L1 and user
Table 1 is set up as a result, and optimal diopter generation module is configured as passing through according to age F, apart from L1 and standard diopter D0
Inquiry table 1 obtains diopter D1, and sample analysis module is configured as by age F, apart from the standard diopter D0 ' of L1 ' and user
As condition, diopter D2 ' sets up table 2 as a result, and optimal diopter generation module is configured as according to age F, apart from L1 '
Diopter D1 ' is obtained by inquiry table 2 with standard diopter D0 '.
In another example,
The left eye that sample analysis module is configured as counting several users is watched in first virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at left eye crystalline lens before region diopter D2, set according to statistical result
Determine maximum distance Lmax, work as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out linear regression acquisition to statistical result
Linear function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;Optimal diopter generation module
It is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1=D0*f2 (F);Lmax is a definite value, example
Such as, from the point of view of according to statistical result, when L1 exceed a certain numerical value, by function f1 calculate obtain D1 regulating effect it is not good when, will
This numerical value is used as Lmax;
The right eye that sample analysis module is additionally configured to count several users is watched in second virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at right eye crystalline lens before region diopter D2', according to statistical result
Maximum distance Lmax ' is set, works as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), function f1 is that statistical result is linearly returned
Return the linear function of acquisition;As L1 ' >=Lmax ', D1 '=D0 ' * f2 (F), f2 is fixed value corresponding with age F;Lmax'
It is a definite value, for example, from the point of view of according to statistical result, when L1' exceedes a certain numerical value, the regulation for obtaining D1' is calculated by function f1
When effect is not good, this numerical value is regard as Lmax';
Optimal diopter generation module is configured as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), work as L1 ' >=Lmax '
When, D1 '=D0 ' * f2 (F).
Adjustment module, adjusts focus-variable lens, and the diopter for making region of the focus-variable lens before the crystalline lens of left eye is D1,
Focus-variable lens are adjusted, the diopter for making region of the focus-variable lens before the crystalline lens of right eye is D1 ';In an example, become
Focus lens are a kind of with multifocal eyeglass, and the different zones on eyeglass have before different refractive powers, left eye and right eye
Preceding each setting one, mobile focus-variable lens, it is that D1 region is moved to the left side of user to make diopter on the focus-variable lens before left eye
Before the crystalline lens of eye, the vision system that left eye is constituted with focus-variable lens is set to reach the focus-variable lens before optimal refractive power, right eye
It is also so to adjust;In another example, focus-variable lens are the box bodys that a kind of centre is provided with liquid crystal layer, the two of liquid crystal
Side is provided with electrode, and control chip coordination electrode makes certain pattern, and different voltages are applied in pattern, make liquid crystal molecule
By corresponding aligned transfer, by arranging herein under crystal molecule refractive index realize certain distribution, finally cause liquid crystal cell
The function of lens is simulated, according to diopter D1 and D1 ', controller applies corresponding voltage to image, realizes that focus-variable lens are bent
The regulation of luminosity;
Threshold value acquisition module is trained, is configured as obtaining the diopter instruction of left eye according to standard diopter D0 and diopter D1
Practice lower limit fit_min and diopter training upper limit fit_max, determine the diopter training unit fit_offset of left eye;Also by
It is configured to obtain the diopter training lower limit fit_min ' and diopter instruction of right eye according to standard diopter D0 ' and diopter D1 '
Practice upper limit fit_max ', determine the diopter training unit fit_offset ' of right eye;In another example, training threshold value is obtained
Modulus block is configured as obtaining diopter training lower limit fit_min and dioptric according to age F, standard diopter D0 and diopter D1
Degree training upper limit fit_max, determines diopter training unit fit_offset;According to age F, standard diopter D0 ' and dioptric
Degree D1 ' obtains diopter training lower limit fit_min ' and diopter training upper limit fit_max ', determines diopter training unit
Fit_offset ', be specially:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample
Statistics, the quality of the effect of training is fed back by user, and function f3 is the linear letter that linear regression acquisition is carried out to statistical result
Number;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample
Statistics, the quality of the effect of training is fed back by user, and function f4 is the linear letter that linear regression acquisition is carried out to statistical result
Number;
Formula fit_offset=f5 (fit_min, fit_max) is set up, function f5 is linear equation;
Formula fit_min '=f3 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_min' of effect is used as sample
This progress is counted, and the quality of the effect of training is fed back by user, and function f3 is to carry out linear regression acquisition to statistical result
Linear function;
Formula fit_max '=f4 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_max' of effect is used as sample
This progress is counted, and the quality of the effect of training is fed back by user, and function f4 is to carry out linear regression acquisition to statistical result
Linear function;
Formula fit_offset '=f5 (fit_min ', fit_max ') is set up, function f5 is linear equation.
In another example, calling module be additionally configured to obtain user interpupillary distance P, training threshold value acquisition module by with
It is set to and sets up formula fit_min=f3 (F, D0, P, D1), formula fit_max=f4 (F, D0, P, D1), formula fit_min '=
F3 (F, D0 ', P, D1 '), formula fit_max '=f4 (F, D0 ', P, D1 ').
Training module, is configured for:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset
>=fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its bending before the crystalline lens of left eye
Luminosity consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m has been trained
Take turns number;
Training module is additionally configured to carry out:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+
Fit_offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in right eye
Diopter before crystalline lens is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_
min’+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just
Deconditioning, wherein m are the wheel number trained.Trained more than, do not stop to change lenticular diopter, really small range
The interior training to ciliary muscle relaxation, can be effectively improved the elasticity of ciliary muscle, to the extensive of vision after training after a while
Have certain effect again.
Partition module, is configured as:
In first virtual image, using intersection point O1 as the center of circle, the border circular areas using R as radius is the main field of regard of left eye, and first is empty
As the secondary field of regard that other parts are left eye,
In second virtual image, with intersection point O1 ' for the center of circle, using border circular areas that R ' is radius as the main field of regard of right eye, second
Virtual image other parts are the secondary field of regard of right eye;
Visualization module is additionally configured to improve the image quality of the main field of regard of left eye and/or reduces the secondary field of regard of left eye
Image quality, improve right eye main field of regard image quality and/or reduce right eye secondary field of regard image quality.One
In individual example, visualization module is configured as improving the image quality of main field of regard, for example improve the pixel of main field of regard, brightness,
Definition etc., allows user accurately quickly clearly to capture picture of interest;In another example, visualization module quilt
It is configured to reduce the image quality of time field of regard, the work load of picture reproducer can be mitigated, the heat to reducing equipment is saved
Also there is good effect in energy consumption;In another example, visualization module is configured as improving the image quality of main field of regard
While reduction time field of regard image quality.
There is at least one user data in customer data base, customer data base, user data includes No. ID, identity letter
Breath, age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, identity information include character string, voice print database, fingerprint number
According to and/or iris data;User at the beginning using equipment when registered, user input identity information, such as character string, vocal print
Data, finger print data and/or iris data, ID user oneself can be selected be generated by system, and No. ID is believed with identity
Breath binding, character string can be numeral, capital and small letter English alphabet, symbol either combinations thereof form, and voice print database passes through
Microphone is gathered, finger print data is gathered by fingerprint sensor, iris data is gathered by camera;User's registration it
Afterwards, can be by inputting age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, Yong Huye in the control interface of equipment
The age F of oneself, standard diopter D0, standard diopter D0 ' and interpupillary distance P can be inputted and uploaded by other electronic equipments
To server, wear display device and obtained from server;
Input module, is configured as obtaining checking information, user's starting device, equipment collection checking information (equipment collection
Voice print database, finger print data or iris data) or user by character string Password Input into equipment;
Authentication module, is configured as being verified checking information with the identity information in user data, after being verified
Take out and use age F, standard diopter D0, standard diopter D0 ' and the interpupillary distance P in user data.
Memory module, is configured as storing user data.
As shown in Fig. 2 present invention also offers a kind of intelligent terminal, it can be an iPhone or Samsung Galaxy
S7 smart mobile phones, it is connected with helmet, and composition wears 3D display devices, including:
Communication module, is configured as and helmet data interaction;
Receiving module, is configured as obtaining the head initial position of the user of helmet demarcation, and display device is worn in acquisition
Detect the head form of user;
Visualization module, is configured to as left eye and right eye display electronic image;
Virtual coordinates module, is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system,
The plane where second virtual image seen by right eye sets up the second rectangular coordinate system, position of first virtual image in the first rectangular coordinate system
Fixation is put, position of second virtual image in the second rectangular coordinate system is fixed;
Initial module, when being configured as the head of user being in initial position, the positive apparent direction of left eye is Q0, right eye
Positive apparent direction is Q0 ', and sights of the positive apparent direction Q0 perpendicular to plane where first virtual image and left eye along positive apparent direction Q0 is concentrated
On the first virtual image central point O, coordinate is (x0, y0), and positive apparent direction Q0 ' is perpendicular to plane where second virtual image and right eye edge
Positive apparent direction Q0 ' sight is concentrated on the second virtual image central point O ', and coordinate is (x0 ', y0 ');After equipment starts, the virtual image is flat
Position in face is just determined, and will not change position with the change of the positive apparent direction of user afterwards;Positive apparent direction is
No matter the head for referring to user is in what form, regarding when eyes are in the state loosened and do not rotated to any direction all the time
Line direction;
Calling module, is configured as obtaining the standard diopter D0 of left eye, obtains between left eye and the first virtual image central point O
Air line distance be L0;Obtain the standard diopter D0 ' of right eye, obtain straight line between right eye and the second virtual image central point O ' away from
From for L0 ';In an example, the standard diopter of two eyes of user is stored in the memory that equipment has in itself,
Calling module directly calls the standard diopter of two from memory.Due to the position of focus-variable lens, convex lens and display screen
It is relatively fixed, then what the position of left eye and first virtual image was also to determine, then straight between left eye and the first virtual image central point O
Linear distance L0 may be considered a definite value, is also so, to call apart from L0 ' apart from L0 and apart from L0 ' storages in memory
Module is directly invoked;In another example, the distance between standard diopter and eyes and virtual image central point are stored in one
In platform server, server access internet wears display device and also accesses internet, calling module calls use from server
The distance between standard diopter and eyes and virtual image central point of family eyes;
Detection module is faced, is configured as obtaining the positive apparent direction Q1 of left eye and the positive apparent direction Q1 ' of right eye;In order to
Positive apparent direction when user swings head is determined, the perpendicular at two places when people is upright and head is ajusted is regard as reference
Face, reference plane is in the state of geo-stationary with head all the time, and the head of people is in three-dimensional system of coordinate, passes through three-axis gyroscope
To detect the head form of user, obtained space vector determines the plane where reference plane, positive apparent direction and the ginseng of eyes
Show up vertical, be in display due to wearing display device so as to obtain the positive apparent direction Q1 of left eye and the positive apparent direction Q1 ' of right eye
By picture split screen on screen, for 3D images, screen or so two parts play different images, two eyes difference simultaneously
Viewing, a virtual image can be respectively seen in two eyes, therefore blinkpunkt O1 is exactly to be sent from the left eye of user along positive apparent direction Q1
The intersection point of first virtual image seen of ray and left eye, blinkpunkt O1 ' is exactly to be sent from the right eye of user along positive apparent direction Q1 '
The intersection point for second virtual image that ray is seen with right eye;
Optimal diopter generation module, is configured as obtaining left eye according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0
The air line distance between blinkpunkt O1 and left eye in first virtual image is L1, according to apart from L0 ', positive apparent direction Q1 ' and facing
The air line distance that direction Q0 ' obtains between blinkpunkt O1 ' and right eye of the right eye in second virtual image is L1 ':Calculate positive apparent direction
Angle α between Q1 and positive apparent direction Q0, because the position of first virtual image is changeless, positive apparent direction Q0 is perpendicular to first
The sight of plane and eyes along positive apparent direction Q0 passes through virtual image central point O where the virtual image, then according to the side of right angled triangle
Long calculation formula, using, as the length of a right-angle side, angle α is as an acute angle, and calculating obtains left eye the apart from L0
The distance between the air line distance between blinkpunkt O1 and left eye in one virtual image is L1, and blinkpunkt O1 and central point O, from
And blinkpunkt O1 coordinate is determined, above calculating can be carried out apart from L1 process when user is using equipment, can also be advance
Calculated, by different positive apparent direction correspondences accordingly apart from L1, form list, user is using directly basis is faced during equipment
Direction Q1 goes to inquire about this table, obtains corresponding apart from L1;Using identical method, according to apart from L0 ', positive apparent direction Q1 ' and just
The air line distance that apparent direction Q0 ' obtains between blinkpunkt O1 ' and right eye of the right eye in second virtual image is L1 ';In an example
In, intelligent terminal also includes sample analysis module, and the left eye for being configured as counting several users watches different in first virtual image attentively
Point and obtain most clearly visual effect when, focus-variable lens be located at left eye crystalline lens before region diopter D2, according to
Statistical result is using apart from L1 and user standard diopter D0, as condition, diopter D2 sets up table 1 as a result;Statistics is some
The right eye of individual user watch attentively in second virtual image difference and obtain most clearly visual effect when, focus-variable lens are located at right eye
The diopter D2' in the region before crystalline lens, according to statistical result will apart from L1 ' and user standard diopter D0 ' as condition,
Diopter D2 ' sets up table 2 as a result;Optimal diopter generation module is configured as according to logical apart from L1 and standard diopter D0
Cross inquiry table 1 and obtain diopter D1, diopter D1 ' is obtained by inquiry table 2 according to apart from L1 ' and standard diopter D0 ';Left eye
The process of sampling needs user (can be by one to one confirmation signal of equipment when left eye obtains most clearly visual effect
Acknowledgement key is connected to gather confirmation signal with control chip), equipment receives the focus-variable lens before the left eye of signal record now
Diopter D2, providing confirmation signal can also allow another people to coordinate to be operated with user, and right eye sampling is also such.Building
, can also be using the other information of user as condition during vertical Tables 1 and 2, in another example, calling module is additionally configured to
The age F of user is obtained, sample analysis module is configured as being used as bar using age F, apart from the standard diopter D0 of L1 and user
Part, diopter D2 sets up table 1 as a result, and optimal diopter generation module is configured as bending according to age F, apart from L1 and standard
Luminosity D0 obtains diopter D1 by inquiry table 1;Sample analysis module is configured as age F, the standard apart from L1 ' and user
Diopter D0 ' is as condition, and diopter D2 ' sets up table 2 as a result, and optimal diopter generation module was configured as according to the age
F, apart from L1 ' and standard diopter D0 ' diopter D1 ' obtained by inquiry table 2.
In another example, sample analysis module is configured as setting maximum distance Lmax according to statistical result, works as L1<
Lmax, D1=D0*f1 (L1, F), function f1 are the linear function that linear regression acquisition is carried out to statistical result;As L1 >=Lmax
When, D1=D0*f2 (F), f2 is fixed value corresponding with age F;Lmax is a definite value, for example, from the point of view of according to statistical result, when
L1 exceed a certain numerical value, by function f1 calculate obtain D1 regulating effect it is not good when, regard this numerical value as Lmax;
Optimal diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1=
D0*f2(F);
Sample analysis module is additionally configured to set maximum distance Lmax ' according to statistical result, works as L1 '<Lmax ', D1 '=
D0 ' * f1 (L1 ', F), function f1 are the linear function that linear regression acquisition is carried out to statistical result;As L1 ' >=Lmax ', D1 '
=D0 ' * f2 (F), f2 are fixed value corresponding with age F;Lmax' is a definite value, for example, from the point of view of according to statistical result, working as L1'
More than a certain numerical value, calculated by function f1 obtain D1' regulating effect it is not good when, regard this numerical value as Lmax';
Optimal diopter generation module is configured as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), work as L1 ' >=Lmax '
When, D1 '=D0 ' * f2 (F).
Sending module, is configured as sending optimal diopter D1 and optimal diopter D1 ' to helmet;Helmet
Focus-variable lens are adjusted, the diopter for making region of the focus-variable lens before the crystalline lens of left eye is D1, adjusts focus-variable lens, makes change
The diopter that focus lens are located at the region before the crystalline lens of right eye is D1 ';In an example, focus-variable lens are a kind of with many
The eyeglass of focus, the different zones on eyeglass have before different refractive powers, left eye and each setting one before right eye, mobile to become
Focus lens, make diopter on the focus-variable lens before left eye be moved to for D1 region before the crystalline lens of the left eye of user, make left eye
The vision system constituted with focus-variable lens reaches that the focus-variable lens before optimal refractive power, right eye are also so to adjust;Another
In one example, focus-variable lens are the box bodys that a kind of centre is provided with liquid crystal layer, and electrode is provided with the both sides of liquid crystal, control core
Piece coordination electrode makes certain pattern, and different voltages are applied in pattern, makes liquid crystal molecule by corresponding aligned transfer, leads to
The crystal molecule refractive index crossed under arranging herein realizes certain distribution, the final function of causing liquid crystal cell to simulate lens, root
According to diopter D1 and D1 ', controller applies corresponding voltage to image, realizes the regulation of focus-variable lens diopter;
Threshold value acquisition module is trained, is configured as obtaining the diopter instruction of left eye according to standard diopter D0 and diopter D1
Practice lower limit fit_min and diopter training upper limit fit_max, determine the diopter training unit fit_offset of left eye;Also by
It is configured to obtain the diopter training lower limit fit_min ' and diopter instruction of right eye according to standard diopter D0 ' and diopter D1 '
Practice upper limit fit_max ', determine the diopter training unit fit_offset ' of right eye;In another example, training threshold value is obtained
Modulus block is configured as obtaining diopter training lower limit fit_min and dioptric according to age F, standard diopter D0 and diopter D1
Degree training upper limit fit_max, determines diopter training unit fit_offset;According to age F, standard diopter D0 ' and dioptric
Degree D1 ' obtains diopter training lower limit fit_min ' and diopter training upper limit fit_max ', determines diopter training unit
Fit_offset ', be specially:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample
Statistics, the quality of the effect of training is fed back by user, and function f3 is the linear letter that linear regression acquisition is carried out to statistical result
Number;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user
Left eye be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample
Statistics, the quality of the effect of training is fed back by user, and function f4 is the linear letter that linear regression acquisition is carried out to statistical result
Number;
Formula fit_offset=f5 (fit_min, fit_max) is set up, function f5 is linear equation;
Formula fit_min '=f3 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_min' of effect is used as sample
This progress is counted, and the quality of the effect of training is fed back by user, and function f3 is to carry out linear regression acquisition to statistical result
Linear function;
Formula fit_max '=f4 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0'
After the right eye of user is trained using different optimal diopter D1' as median, the preferable fit_max' of effect is used as sample
This progress is counted, and the quality of the effect of training is fed back by user, and function f4 is to carry out linear regression acquisition to statistical result
Linear function;
Formula fit_offset '=f5 (fit_min ', fit_max ') is set up, function f5 is linear equation.
In another example, calling module be additionally configured to obtain user interpupillary distance P, training threshold value acquisition module by with
It is set to and sets up formula fit_min=f3 (F, D0, P, D1), formula fit_max=f4 (F, D0, P, D1), formula fit_min '=
F3 (F, D0 ', P, D1 '), formula fit_max '=f4 (F, D0 ', P, D1 ').
Sending module is additionally configured to diopter training lower limit fit_min, diopter training upper limit fit_max, dioptric
Spend training unit fit_offset, diopter training lower limit fit_min ', diopter training upper limit fit_max ' and diopter instruction
Practice unit fit_offset ' to send to helmet;Helmet carries out the training training of left eye and right eye;
Left eye is trained:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset
>=fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its bending before the crystalline lens of left eye
Luminosity consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m has been trained
Take turns number;
Right eye is trained:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+
Fit_offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in right eye
Diopter before crystalline lens is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_
min’+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just
Deconditioning, wherein m are the wheel number trained.Trained more than, do not stop to change lenticular diopter, really small range
The interior training to ciliary muscle relaxation, can be effectively improved the elasticity of ciliary muscle, to the extensive of vision after training after a while
Have certain effect again.
Partition module, is configured as:
In first virtual image, using intersection point O1 as the center of circle, the border circular areas using R as radius is the main field of regard of left eye, and first is empty
As the secondary field of regard that other parts are left eye,
In second virtual image, with intersection point O1 ' for the center of circle, using border circular areas that R ' is radius as the main field of regard of right eye, second
Virtual image other parts are the secondary field of regard of right eye;
Visualization module is additionally configured to improve the image quality of the main field of regard of left eye and/or reduces the secondary field of regard of left eye
Image quality, improve right eye main field of regard image quality and/or reduce right eye secondary field of regard image quality.One
In individual example, visualization module is configured as improving the image quality of main field of regard, for example improve the pixel of main field of regard, brightness,
Definition etc., allows user accurately quickly clearly to capture picture of interest;In another example, visualization module quilt
It is configured to reduce the image quality of time field of regard, the work load of picture reproducer can be mitigated, the heat to reducing equipment is saved
Also there is good effect in energy consumption;In another example, visualization module is configured as improving the image quality of main field of regard
While reduction time field of regard image quality.
There is at least one user data in customer data base, customer data base, user data includes No. ID, identity letter
Breath, age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, identity information include character string, voice print database, fingerprint number
According to and/or iris data;User at the beginning using equipment when registered, user input identity information, such as character string, vocal print
Data, finger print data and/or iris data, ID user oneself can be selected be generated by system, and No. ID is believed with identity
Breath binding, character string can be numeral, capital and small letter English alphabet, symbol either combinations thereof form, and voice print database passes through
Microphone is gathered, finger print data is gathered by fingerprint sensor, iris data is gathered by camera;User's registration it
Afterwards, can be by inputting age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, Yong Huye in the control interface of equipment
The age F of oneself, standard diopter D0, standard diopter D0 ' and interpupillary distance P can be inputted and uploaded by other electronic equipments
To server, intelligent terminal is obtained from server;
Receiving module is configured as receiving checking information from helmet;
Authentication module, is configured as being verified checking information with the identity information in user data, after being verified
Take out and use age F, standard diopter D0, standard diopter D0 ' and the interpupillary distance P in user data;
Memory module, is configured as storing user data.
As shown in figure 3, present invention also offers a kind of helmet, including:
Communication module, is configured to interact with Intelligent terminal data;
Head detector module, is configured as demarcating the head initial position of user, detects the head form of user;
Sending module, is configured as sending the head initial position and head form of user to intelligent terminal;
Receiving module, is configured as receiving the optimal diopter D1 of the left eye and optimal diopter D2 of right eye;
Adjustment module, is configured as adjusting focus-variable lens, makes bending for region of the focus-variable lens before the crystalline lens of left eye
Luminosity is D1, adjusts focus-variable lens, and the diopter for making region of the focus-variable lens before the crystalline lens of right eye is D1 '.
Receiving module is additionally configured to receive the diopter training lower limit fit_min of left eye, diopter training upper limit fit_
Max and diopter training unit fit_offset, receives diopter training lower limit fit_min ', the diopter training upper limit of right eye
Fit_max ' and diopter training unit fit_offset ';
Training module, is configured for:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye in [(D1-fit), (D1+
Fit)] interval interior consecutive variations n is individual back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset
>=fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its bending before the crystalline lens of left eye
Luminosity consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m has been trained
Take turns number;
Training module, is configured for:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '),
(D1 '+fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+
Fit_offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in right eye
Diopter before crystalline lens is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_
min’+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just
Deconditioning, wherein m are the wheel number trained;
Input module, is configured as obtaining checking information, sending module is additionally configured to send checking information to intelligence
Terminal.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or the spy that the embodiment or example are described
Point is contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of the term not
Necessarily refer to identical embodiment or example.Moreover, specific features, structure, material or the feature of description can be any
One or more embodiments or example in combine in an appropriate manner.
Using the above-mentioned desirable embodiment according to the present invention as enlightenment, by above-mentioned description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.
Claims (22)
1. a kind of vision optimization system for wearing 3D display devices, it is characterised in that including:
Visualization module, is configured to as left eye and right eye display electronic image;
Virtual coordinates module, is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system, on the right side
Plane where seen second virtual image of eye sets up the second rectangular coordinate system, position of first virtual image in the first rectangular coordinate system
Fixation is put, position of second virtual image in the second rectangular coordinate system is fixed;
Initial module, is configured as demarcating the head initial position of user, when the head of user is in into initial position, left eye
Positive apparent direction is Q0, and the positive apparent direction of right eye is Q0 ', and the positive apparent direction Q0 is perpendicular to plane where first virtual image and left eye
Concentrated on along positive apparent direction Q0 sight on the first virtual image central point O, the positive apparent direction Q0 ' is flat where second virtual image
The sight of face and right eye along positive apparent direction Q0 ' is concentrated on the second virtual image central point O ';
Calling module, is configured as obtaining the standard diopter D0 of left eye, obtains straight between left eye and the first virtual image central point O
Linear distance is L0;The standard diopter D0 ' of right eye is obtained, the air line distance obtained between right eye and the second virtual image central point O ' is
L0’;
Detection module is faced, is configured as detecting the head form of user, the positive apparent direction Q1 and right eye of left eye is obtained
Positive apparent direction Q1 ';
Optimal diopter generation module, is configured as obtaining left eye the according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0
The air line distance between blinkpunkt O1 and left eye in one virtual image is L1, real according to left eye is obtained apart from L1 and standard diopter D0
When optimal diopter D1;Note of the right eye in second virtual image is obtained according to apart from L0 ', positive apparent direction Q1 ' and positive apparent direction Q0 '
Air line distance between viewpoint O1 ' and right eye is L1 ', optimal in real time according to right eye is obtained apart from L1 ' and standard diopter D0 '
Diopter D1 ';
Adjustment module, adjusts focus-variable lens, and the diopter for making region of the focus-variable lens before the crystalline lens of left eye is D1, regulation
Focus-variable lens, the diopter for making region of the focus-variable lens before the crystalline lens of right eye is D1 '.
2. the vision optimization system as claimed in claim 1 for wearing 3D display devices, it is characterised in that also include:
Threshold value acquisition module is trained, is configured as under being trained according to the diopter that standard diopter D0 and diopter D1 obtain left eye
Fit_min and diopter training upper limit fit_max are limited, the diopter training unit fit_offset of left eye is determined;It is configured as
The diopter training lower limit fit_min ' and the diopter training upper limit of right eye are obtained according to standard diopter D0 ' and diopter D1 '
Fit_max ', determines the diopter training unit fit_offset ' of right eye;
Training module, is configured for:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye at [(D1-fit), (D1+fit)]
Consecutive variations n is individual back and forth in interval, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye at [(D1-fit), (D1+fit)]
Consecutive variations n is individual back and forth in interval, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=
Fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its dioptric before the crystalline lens of left eye
Degree consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;With
This analogizes, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is the wheel trained
Number;
Training module is additionally configured to carry out:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '), (D1 '+
Fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '), (D1 '+
Fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+fit_
Offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in the crystalline of right eye
Diopter before body is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_min '
+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just stops
Training, wherein m is the wheel number trained.
3. the vision optimization system as claimed in claim 2 for wearing 3D display devices, it is characterised in that:
The calling module is additionally configured to obtain the age F of user, and the optimal diopter generation module is configured as basis
Age F, apart from L1 and standard diopter D0 optimal diopter D1 in real time is obtained, according to age F, apart from L1 ' and standard dioptric
Degree D0 ' obtains optimal diopter D1 ' in real time.
Training threshold value acquisition module is configured as being obtained under diopter training according to age F, standard diopter D0 and diopter D1
Fit_min and diopter training upper limit fit_max are limited, diopter training unit fit_offset is determined;According to age F, standard
Diopter D0 ' and diopter D1 ' obtain diopter training lower limit fit_min ' and diopter training upper limit fit_max ', it is determined that bending
Luminosity training unit fit_offset '.
4. the vision optimization system as claimed in claim 3 for wearing 3D display devices, it is characterised in that also include:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained most clear
During clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of left eye, according to statistical result by distance
L1, standard diopter D0 and age F set up table 1 as a result as condition, diopter D2;
The optimal diopter generation module is configured as obtaining by inquiry table 1 according to age F, apart from L1 and standard diopter D0
To diopter D1;
The right eye that sample analysis module is additionally configured to count several users is watched in second virtual image difference attentively and obtained most
Clearly during visual effect, focus-variable lens are located at the diopter D2' in the region before the crystalline lens of right eye, will be away from according to statistical result
From L1 ', standard diopter D0 ' and age F as condition, diopter D2 ' sets up table 2 as a result;
The optimal diopter generation module is configured as passing through inquiry table 2 according to age F, apart from L1 ' and standard diopter D0 '
Obtain diopter D1 '.
5. the vision optimization system as claimed in claim 3 for wearing 3D display devices, it is characterised in that also include:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained most clear
During clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of left eye, according to statistical result setting most
Remote Lmax, works as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out the linear of linear regression acquisition to statistical result
Function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;The optimal diopter generation module
It is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1=D0*f2 (F);
The right eye that sample analysis module is also configured to count several users is watched in second virtual image difference attentively and obtained
Most clearly visual effect when, focus-variable lens be located at right eye crystalline lens before region diopter D2', set according to statistical result
Determine maximum distance Lmax ', work as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), function f1 is to carry out linear regression to statistical result
The linear function of acquisition;As L1 ' >=Lmax ', D1 '=D0 ' * f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), work as L1 ' >=Lmax '
When, D1 '=D0 ' * f2 (F).
6. the vision for the wearing 3D display devices optimization system as described in claim 4 or 5, it is characterised in that:The training threshold
Value acquisition module is configured as:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user a left side
After eye is trained using different optimal diopter D1 as median, the preferable fit_min of effect is counted as sample,
Function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user a left side
After eye is trained using different optimal diopter D1 as median, the preferable fit_max of effect is counted as sample,
Function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is set up, function f5 is linear equation;
Formula fit_min '=f3 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0' user
Right eye be trained using different optimal diopter D1' as median after, the preferable fit_min' of effect enters as sample
Row statistics, function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max '=f4 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0' user
Right eye be trained using different optimal diopter D1' as median after, the preferable fit_max' of effect enters as sample
Row statistics, function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset '=f5 (fit_min ', fit_max ') is set up, function f5 is linear equation.
7. the vision optimization system as claimed in claim 6 for wearing 3D display devices, it is characterised in that:The calling module is also
It is configured as obtaining the interpupillary distance P of user;
The training threshold value acquisition module is configured as:Set up formula fit_min=f3 (F, D0, P, D1), formula fit_max=
F4 (F, D0, P, D1), formula fit_min '=f3 (F, D0 ', P, D1 '), formula fit_max '=f4 (F, D0 ', P, D1 ').
8. the vision optimization system as claimed in claim 7 for wearing 3D display devices, it is characterised in that:Also include partition mould
Block, is configured as:
In first virtual image, using intersection point O1 as the center of circle, border circular areas using R as radius for left eye main field of regard, first virtual image its
It is partly the secondary field of regard of left eye,
In second virtual image, with intersection point O1 ' for the center of circle, using border circular areas that R ' is radius as the main field of regard of right eye, second virtual image
Other parts are the secondary field of regard of right eye;
The visualization module is additionally configured to improve the image quality of the main field of regard of left eye and/or reduces the secondary field of regard of left eye
Image quality, improve right eye main field of regard image quality and/or reduce right eye secondary field of regard image quality.
9. the vision optimization system as claimed in claim 8 for wearing 3D display devices, it is characterised in that:Also include user data
Have at least one user data in storehouse, the customer data base, the user data include No. ID, identity information, age F,
Standard diopter D0, standard diopter D0 ' and interpupillary distance P, the identity information include character string, voice print database, finger print data and/
Or iris data.
10. the vision optimization system as claimed in claim 9 for wearing 3D display devices, it is characterised in that also include:
Input module, is configured as obtaining checking information;
Authentication module, is configured as being verified checking information with the identity information in the user data, after being verified
Take out and use age F, standard diopter D0, standard diopter D0 ' and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
11. a kind of intelligent terminal, it is characterised in that including:
Communication module, is configured as and helmet data interaction;
Receiving module, is configured as obtaining the head initial position of the user of helmet demarcation, and display device detection is worn in acquisition
The head form of user;
Visualization module, is configured to as left eye and right eye display electronic image;
Virtual coordinates module, is configured as the plane where first virtual image seen by left eye and sets up the first rectangular coordinate system, on the right side
Plane where seen second virtual image of eye sets up the second rectangular coordinate system, position of first virtual image in the first rectangular coordinate system
Fixation is put, position of second virtual image in the second rectangular coordinate system is fixed;
Initial module, when being configured as the head of user being in initial position, the positive apparent direction of left eye is Q0, and right eye is faced
Direction is Q0 ', and sights of the positive apparent direction Q0 perpendicular to plane where first virtual image and left eye along positive apparent direction Q0 is concentrated
On the first virtual image central point O, the positive apparent direction Q0 ' where second virtual image plane and right eye along positive apparent direction
Q0 ' sight is concentrated on the second virtual image central point O ';
Calling module, is configured as obtaining the standard diopter D0 of left eye, obtains straight between left eye and the first virtual image central point O
Linear distance is L0;The standard diopter D0 ' of right eye is obtained, the air line distance obtained between right eye and the second virtual image central point O ' is
L0’;
Detection module is faced, is configured as obtaining the positive apparent direction Q1 of left eye and the positive apparent direction Q1 ' of right eye;
Optimal diopter generation module, is configured as obtaining left eye the according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0
The air line distance between blinkpunkt O1 and left eye in one virtual image is L1, real according to left eye is obtained apart from L1 and standard diopter D0
When optimal diopter D1;Note of the right eye in second virtual image is obtained according to apart from L0 ', positive apparent direction Q1 ' and positive apparent direction Q0 '
Air line distance between viewpoint O1 ' and right eye is L1 ', optimal in real time according to right eye is obtained apart from L1 ' and standard diopter D0 '
Diopter D1 ';
Sending module, is configured as sending diopter D1 and diopter D1 ' to helmet.
12. intelligent terminal as claimed in claim 11, it is characterised in that also include:
Threshold value acquisition module is trained, is configured as under being trained according to the diopter that standard diopter D0 and diopter D1 obtain left eye
Fit_min and diopter training upper limit fit_max are limited, the diopter training unit fit_offset of left eye is determined;It is configured as
The diopter training lower limit fit_min ' and the diopter training upper limit of right eye are obtained according to standard diopter D0 ' and diopter D1 '
Fit_max ', determines the diopter training unit fit_offset ' of right eye;
The sending module is additionally configured to diopter training lower limit fit_min, diopter training upper limit fit_max, dioptric
Spend training unit fit_offset, diopter training lower limit fit_min ', diopter training upper limit fit_max ' and diopter instruction
Practice unit fit_offset ' to send to helmet.
13. intelligent terminal as claimed in claim 12, it is characterised in that:
The calling module is additionally configured to obtain the age F of user, and the optimal diopter generation module is configured as basis
Age F, apart from L1 and standard diopter D0 optimal diopter D1 in real time is obtained, according to age F, apart from L1 ' and standard dioptric
Degree D0 ' obtains optimal diopter D1 ' in real time;
Training threshold value acquisition module is configured as being obtained under diopter training according to age F, standard diopter D0 and diopter D1
Fit_min and diopter training upper limit fit_max are limited, diopter training unit fit_offset is determined;According to age F, standard
Diopter D0 ' and diopter D1 ' obtain diopter training lower limit fit_min ' and diopter training upper limit fit_max ', it is determined that bending
Luminosity training unit fit_offset '.
14. intelligent terminal as claimed in claim 13, it is characterised in that also include:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained most clear
During clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of left eye, according to statistical result by distance
L1, the standard diopter D0 of user and age F are as condition, and diopter D2 sets up table 1 as a result;Count several users'
Right eye watch attentively in second virtual image difference and obtain most clearly visual effect when, focus-variable lens are located at before the crystalline lens of right eye
Region diopter D2', according to statistical result will apart from L1 ', the standard diopter D0 ' of user and age F as condition, bend
Luminosity D2 ' sets up table 2 as a result;
The optimal diopter generation module is configured as obtaining by inquiry table 1 according to age F, apart from L1 and standard diopter D0
To diopter D1, diopter D1 ' is obtained according to age F, apart from L1 ' and standard diopter D0 ' by inquiry table 2.
15. intelligent terminal as claimed in claim 13, it is characterised in that also include:
Sample analysis module, the left eye for being configured as counting several users is watched in first virtual image difference attentively and obtained most clear
During clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of left eye, according to statistical result setting most
Remote Lmax, works as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out the linear of linear regression acquisition to statistical result
Function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1=
D0*f2(F);
The right eye that sample analysis module is additionally configured to count several users is watched in second virtual image difference attentively and obtained most
Clearly during visual effect, focus-variable lens are located at the diopter D2' in the region before the crystalline lens of right eye, are set according to statistical result
Maximum distance Lmax ', works as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), function f1 is to carry out linear regression to statistical result to obtain
The linear function obtained;As L1 ' >=Lmax ', D1 '=D0 ' * f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1 '<Lmax ', D1 '=D0 ' * f1 (L1 ', F), work as L1 ' >=Lmax '
When, D1 '=D0 ' * f2 (F).
16. the intelligent terminal as described in claims 14 or 15, it is characterised in that:The training threshold value acquisition module is configured
For:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user a left side
After eye is trained using different optimal diopter D1 as median, the preferable fit_min of effect is counted as sample,
Function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user a left side
After eye is trained using different optimal diopter D1 as median, the preferable fit_max of effect is counted as sample,
Function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is set up, function f5 is linear equation;
Formula fit_min '=f3 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0' user
Right eye be trained using different optimal diopter D1' as median after, the preferable fit_min' of effect enters as sample
Row statistics, function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max '=f4 (F, D0 ', D1 ') is set up, by substantial amounts of all ages and classes F, various criterion diopter D0' user
Right eye be trained using different optimal diopter D1' as median after, the preferable fit_max' of effect enters as sample
Row statistics, function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset '=f5 (fit_min ', fit_max ') is set up, function f5 is linear equation.
17. intelligent terminal as claimed in claim 16, it is characterised in that:The calling module is additionally configured to obtain user's
Interpupillary distance P;
The training threshold value acquisition module is configured as:Set up formula fit_min=f3 (F, D0, P, D1), formula fit_max=
F4 (F, D0, P, D1), formula fit_min '=f3 (F, D0 ', P, D1 '), formula fit_max '=f4 (F, D0 ', P, D1 ').
18. intelligent terminal as claimed in claim 17, it is characterised in that:Also include partition module, be configured as:
In first virtual image, using intersection point O1 as the center of circle, border circular areas using R as radius for left eye main field of regard, first virtual image its
It is partly the secondary field of regard of left eye,
In second virtual image, with intersection point O1 ' for the center of circle, using border circular areas that R ' is radius as the main field of regard of right eye, second virtual image
Other parts are the secondary field of regard of right eye;
The visualization module is additionally configured to improve the image quality of the main field of regard of left eye and/or reduces the secondary field of regard of left eye
Image quality, improve right eye main field of regard image quality and/or reduce right eye secondary field of regard image quality.
19. intelligent terminal as claimed in claim 18, it is characterised in that also include:
There is at least one user data in customer data base, the customer data base, the user data includes No. ID, identity
Information, age F, standard diopter D0, standard diopter D0 ' and interpupillary distance P, the identity information include character string, voice print database,
Finger print data and/or iris data;
The receiving module is additionally configured to receive checking information from helmet;
Authentication module, is configured as being verified checking information with the identity information in the user data, after being verified
Take out and use age F, standard diopter D0, standard diopter D0 ' and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
20. a kind of helmet, it is characterised in that including:
Communication module, is configured to interact with Intelligent terminal data;
Head detector module, is configured as demarcating the head initial position of user, detects the head form of user;
Sending module, is configured as sending the head initial position and head form of user to intelligent terminal;
Receiving module, is configured as receiving the optimal diopter D1 of the left eye and optimal diopter D2 of right eye;
Adjustment module, is configured as adjusting focus-variable lens, makes the diopter in region of the focus-variable lens before the crystalline lens of left eye
For D1, focus-variable lens are adjusted, the diopter for making region of the focus-variable lens before the crystalline lens of right eye is D1 '.
21. helmet as claimed in claim 20, it is characterised in that the receiving module is configured as receiving bending for left eye
Luminosity training lower limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset, receive right eye
Diopter training lower limit fit_min ', diopter training upper limit fit_max ' and diopter training unit fit_offset ', institute
Stating helmet also includes:
Training module, is configured for:
The first round trains:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye at [(D1-fit), (D1+fit)]
Consecutive variations n is individual back and forth in interval, wherein fit=fit_min;
Second wheel training:Focus-variable lens are adjusted, make its diopter before the crystalline lens of left eye at [(D1-fit), (D1+fit)]
Consecutive variations n is individual back and forth in interval, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=
Fit_max, then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make its dioptric before the crystalline lens of left eye
Degree consecutive variations n in [(D1-fit), (D1+fit)] is interval is individual back and forth, wherein fit=fit_min+fit_offset*2;With
This analogizes, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is the wheel trained
Number;
Training module is additionally configured to carry out:
The first round trains:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '), (D1 '+
Fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min ';
Second wheel training:Adjust focus-variable lens, make its diopter before the crystalline lens of right eye [(D1 '-fit '), (D1 '+
Fit ')] it is interval in consecutive variations n back and forth, wherein fit '=fit_min '+fit_offset ';If fit_min '+fit_
Offset ' >=fit_max ', then deconditioning, otherwise carries out third round training:Focus-variable lens are adjusted, make it in the crystalline of right eye
Diopter before body is individual back and forth in [(D1 '-fit '), (D1 '+fit ')] interval interior consecutive variations n, wherein fit '=fit_min '
+fit_offset’*2;By that analogy, until fit '=fit_min '+fit_offset ' * (m-1) >=fit_max ' just stops
Training, wherein m is the wheel number trained.
22. helmet as claimed in claim 21, it is characterised in that also include:
Input module, is configured as obtaining checking information;Sending module is additionally configured to send checking information to intelligent terminal.
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