CN107687936A - The method and device detected based on virtual implementing helmet dispersion corresponding to scale - Google Patents
The method and device detected based on virtual implementing helmet dispersion corresponding to scale Download PDFInfo
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- CN107687936A CN107687936A CN201710543918.4A CN201710543918A CN107687936A CN 107687936 A CN107687936 A CN 107687936A CN 201710543918 A CN201710543918 A CN 201710543918A CN 107687936 A CN107687936 A CN 107687936A
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- 239000006185 dispersion Substances 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 47
- 238000001514 detection method Methods 0.000 claims description 34
- 230000003287 optical effect Effects 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 230000033001 locomotion Effects 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims 1
- 238000012360 testing method Methods 0.000 abstract description 16
- 238000010586 diagram Methods 0.000 description 9
- 238000005259 measurement Methods 0.000 description 6
- 238000013519 translation Methods 0.000 description 5
- 230000003028 elevating effect Effects 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
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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
- G06F3/012—Head tracking input arrangements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
- G01M11/0257—Testing optical properties by measuring geometrical properties or aberrations by analyzing the image formed by the object to be tested
-
- 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
- G02B27/0012—Optical design, e.g. procedures, algorithms, optimisation routines
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- G—PHYSICS
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- G02B27/0101—Head-up displays characterised by optical features
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- G—PHYSICS
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- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
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- G02B27/017—Head mounted
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- G—PHYSICS
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- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
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- G02B27/017—Head mounted
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- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/011—Head-up displays characterised by optical features comprising device for correcting geometrical aberrations, distortion
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- G02B2027/0127—Head-up displays characterised by optical features comprising devices increasing the depth of field
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- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
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- Geometry (AREA)
- Eye Examination Apparatus (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Eyeglasses (AREA)
Abstract
The present invention provides a kind of method and device detected based on virtual implementing helmet dispersion corresponding to scale, including test cell, observation unit, elementary area and processing unit, the test cell includes trial lens to be measured, fixed structure and display screen, and described image unit and the observation unit, the processing unit are electrically connected.Compared with prior art, the present invention effectively simply solves the problems, such as dispersion checking and adjustment using the combination of test cell, observation unit, elementary area and processing unit.
Description
Technical field
The present invention relates to field of virtual reality, and virtual implementing helmet corresponding to scale is based on more specifically to one kind
The method and device of dispersion detection.
Background technology
Distortion eyeglass has application in many fields, for example, in virtual reality system, in order to allow user visually to gather around
There is real feeling of immersion, virtual reality device will cover the visual range of human eye as far as possible, therefore just need virtually existing
Real equipment fills a specific sphere radian eyeglass, but when traditional image is projected using Arc lenses in the eye of people,
Image is distortion, and human eye just has no idea to obtain the positioning in Virtual Space, i.e., your periphery is all to turn round in virtual reality
Bent image.This problem is solved it is necessary to first torsigram picture, distortion figure corresponding to distortion eyeglass is generated by specific algorithm
Picture, then these fault images by distortion eyeglass project human eye after, normal image will be become, so as to allow people to feel
Feel real position projection and the covering of big angular field of view.Current lens manufacturer can come according to certain distortion parameter
Eyeglass is made, these eyeglasses are assembled on virtual implementing helmet by the manufacturer of virtual implementing helmet.For common
For the user and software developer of virtual implementing helmet, due to can not detect the instrument of eyeglass distortion parameter, except
Distortion parameter can not be intuitively obtained beyond asking for distortion parameter to eyeglass manufacturer, largely have impact on virtual reality
The exploitation and use of software.
The content of the invention
In order to solve the defects of helmet distortion parameter can not be verified and adjusted to current virtual real world devices, the present invention provides one
The method and device that kind is detected based on virtual implementing helmet dispersion corresponding to scale.
The technical solution adopted for the present invention to solve the technical problems is：One kind is provided and is based on virtual reality corresponding to scale
The method of helmet dispersion detection, comprises the following steps：
S1：Mobile observation unit observes virtual implementing helmet to be detected to point of observation, in the virtual reality head to be detected
Monochromatic horizontal scale chi is shown in helmet, the image that elementary area is observed to the observation unit is handled；
S2：The calibration information that observation unit described in described image cell processing is observed, and result is transferred to place
Manage unit；
S3：After the processing unit receives the detection information of described image unit transmission, record calibration information with it is described
The corresponding relation of observation unit position, the observation unit are moved to next point of observation and observed；
S4：The processing unit is fitted according to multigroup calibration information of record and the corresponding relation of the observation unit position
Distortion function in database, and record the result of fitting.
Preferably, the light of the virtual implementing helmet transmitting to be detected reflects via optical mirror slip, the observation
The light that unit is observed the virtual implementing helmet to be detected and launched by simulating the angle at human eye visual angle.
Preferably, further comprise the steps：
S5：When data fitting is unsuccessful, the processing unit stores corresponding relation in a manner of point function.
Preferably, further comprise the steps：
S1.1 adjusts the focal length of the observation eyepiece, the image through the slit transmission for observing the observation eyepiece
In only exist a scale.
Preferably, red, green and blue three kinds of monochromatic light are detected respectively.
A kind of device of virtual implementing helmet distortion complete machine detection, including detection unit, observation unit, elementary area are provided
And processing unit, the detection unit include virtual implementing helmet to be detected, fixed structure, described image unit and the observation
Unit, the processing unit are electrically connected, and the virtual implementing helmet to be detected includes display screen and optical mirror slip, described
Display screen and the optical mirror slip are oppositely arranged, and the observation unit includes shade, observation eyepiece, and the shade can
Dismounting is fixed on the shade, and the shade includes slit.
Preferably, the fixed structure includes clamping device, position-limit mechanism and optical table, and the clamping device can be beaten
Open, closed after being put into the virtual implementing helmet to be detected, the fixed virtual implementing helmet to be detected.
Preferably, the observation unit further comprises eyepiece track and motor, and the observation eyepiece can be in the electricity
Eyepiece track translation described in the drive lower edge of machine, and can under the drive of the motor rotational transform viewing angle.
Preferably, the observation unit further comprises base, movable plate, movable plate track, eyepiece track and motor, institute
State observation eyepiece can eyepiece track motion described in the drive lower edge in the motor, the eyepiece track is arranged on the movement
On plate, the movable plate can drive the observation eyepiece, the motor and the eyepiece track together along the movable plate rail
Move in road.
Compared with prior art, the method that the present invention utilizes distortion data backwards calculation graduation position, establishes display screen
High scale position and the one-to-one relation of the observation position of observation eyepiece, monochromatic distortion is fitted using the corresponding relation
A kind of function, there is provided method for detecting virtual implementing helmet dispersion to be detected.Observation unit is by simulating human eye visual angle angle
To observe the light of display screen transmitting, be advantageous to preferably simulate the observational technique of human eye, its result also more adjunction tested
The image that person of modern times's eye is actually seen, improves accuracy and adaptability.Shade and slit can block influence measurement result
Interference light, ensure thin image formation by rays condition.A quarter is only existed in the image that the focal length of adjustment observation eyepiece makes to observe
Degree, contributes to elementary area preferably to identify calibration information, prevents from disturbing.Multiple spot observation may further ensure that the accurate of data
Property.Effectively simply solves optical distortion inspection using the combination of test cell, observation unit, elementary area and processing unit
The problem of survey.By motor driven observation unit along eyepiece track motion, can facilitate from multiple angles from carrying out, to facilitate
The setting of multiple points of observation.
Brief description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing：
Fig. 1 is module signal of the present invention based on virtual implementing helmet dispersion detection means first embodiment corresponding to scale
Figure；
Fig. 2 is first embodiment test cell module diagram；
Fig. 3 is that the present invention is based on virtual implementing helmet dispersion detection means first embodiment schematic diagram corresponding to scale；
Fig. 4 is that the present invention is based on virtual implementing helmet dispersion detection means first embodiment side signal corresponding to scale
Figure；
Fig. 5 is module signal of the present invention based on virtual implementing helmet dispersion detection means second embodiment corresponding to scale
Figure；
Fig. 6 is second embodiment test cell module diagram；
Fig. 7 is that the present invention is based on virtual implementing helmet dispersion detection means first embodiment schematic diagram corresponding to scale；
Fig. 8 is shade schematic diagram；
Fig. 9 is display screen scale display schematic diagram；
Figure 10 is elementary area digital independent schematic diagram；
Figure 11 is that the present invention is based on virtual implementing helmet dispersion detection means second embodiment schematic diagram corresponding to scale；
Embodiment
In order to solve the defects of eyeglass distortion parameter can not be verified and adjusted to current virtual real world devices, the present invention provides one
The method and device that kind is detected based on virtual implementing helmet dispersion corresponding to scale.
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now compares accompanying drawing and describe in detail
The embodiment of the present invention.
Fig. 1-Fig. 2 is referred to, the present invention includes test list based on virtual implementing helmet dispersion detection means corresponding to scale
Member 1, observation unit 2, elementary area 3 and processing unit 4.Wherein, test cell 1 includes trial lens 12 to be measured, fixed structure 14,
Trial lens 12 to be measured is removably attached on fixed structure 14.Elementary area 3 is electrically connected with observation unit 2, processing unit 4
It is electrically connected with elementary area 3.Observation unit 2 is observed test cell 1 by way of shooting image, observation unit 2
The image of test cell 1 can be shot, and the image transmitting of shooting to elementary area 3 is handled, elementary area 3 can be located
The image that observation unit 2 is shot is managed, and result is transferred to processing unit 4 and handled, processing unit 4 can be according to figure
As the data that unit 3 transmits are handled.
Fig. 3-Fig. 4 shows first based on virtual implementing helmet dispersion detection means corresponding to scale as example
Embodiment, display screen 16 are fixedly installed in fixed structure 14, and eyeglass installation portion 18, eyeglass installation are provided with fixed structure 14
Portion 18 can be used for installing trial lens 12 to be measured.Observation unit 2 include observation eyepiece 23, eyepiece track 25, eyepiece motor 271,
Lifting motor 272 and elevating lever 273, observation eyepiece 23 can under the drive of eyepiece motor 271 along the translation of eyepiece track 25, and
And can under the drive of eyepiece motor 271 rotational transform viewing angle.Observation eyepiece 23 is connected with elevating lever 273, and can
To follow the lifting of elevating lever 273 1.Elevating lever 273 can be lifted by the control of lifting motor 272 in vertical direction.Using
When, eyepiece motor 271, lifting motor 272 can be coordinated with translation to be rotated and lifts, and observation eyepiece 23 is reached different observation positions
Put, the light that simulation direction of visual lines observation display screen 16 is launched.
In initial fitting distortion data, fixed structure 14 is removed first, and to be measured show on trial is installed at eyeglass installation portion 18
Piece 12, then fixed structure 14 is arranged on base 21.Eyepiece motor 271 is resetted, eyepiece motor 271 is reached eyepiece track
The initial position of 25 one end.Now, preparation is completed before detection.After processing unit 4 receives the order for starting detection,
Eyepiece motor 271 and lifting motor 272 drive observation eyepiece 23 to reach first point of observation, meanwhile, the order display of processing unit 4
The display detection informations of screen 16, first, display screen 16 in units of column of pixels from the first end of display screen 16 to the second end by column
Longitudinal light is shown, first end and the second end are relative, can artificially specify as needed, and generally we are specified from
The direction of unit 2 to the test cell 1 after fixation sees that the left end of display screen 16 is first end, and right-hand member is the second end, when image list
When member 3 detects that the display information of display screen 16 reaches the calibration position of observation unit 2 after distortion, elementary area 3 transmits
For information to processing unit 4, processing unit 4 records the abscissa positions of light in the now position of observation unit 2 and display screen 16.
Then observation unit 2 moves to next point of observation, and the order test cell 1 of processing unit 4 shows detection information, repeats above-mentioned inspection
Survey process.Point of observation quantity sets more, and eyeglass lens measurement result is finer, is just advantageously fitted in data.All
After the completion of the detection of point of observation, processing unit 4 collects all corresponding relations, and in the corresponding relation fitting data storehouse according to storage
The distortion function of storage.After processing unit 4, which is successfully fitted one of them, arrives several distortion functions, processing unit 4 is recorded and deposited
Store up the fitting result；When processing unit 4 can not be according to distortion function in the corresponding relation fitting data storehouse measured, processing is single
Member 4 stores corresponding relation in a manner of point function.
Due to three kinds of monochromatic light of red, green, blue, refraction angle is slightly different when by trial lens 12 to be measured, can so cause color
Scattered appearance.After eyeglass is arranged on into virtual implementing helmet, we can be by further to each monochromatic distortion
Situation is detected.When being detected to virtual implementing helmet progress monochromatic light distortion, it would be desirable to in first embodiment
The device used is improved.
Fig. 5-Fig. 6 is referred to, observation unit 2 is observed test cell 1 by way of shooting image, and observation is single
Member 2 can shoot the image of test cell 1, and the image transmitting of shooting to elementary area 3 is handled, and elementary area 3 can
To handle the image of the shooting of observation unit 2, and result is transferred to processing unit 4 and handled, processing unit 4 is according to figure
As unit 3 transmit data handled, and according to data processed result be fitted distortion function.Processing unit 4 and test cell 1
It is electrically connected with, red, green, the scale of blueness can be shown respectively by the order display screen 16 of processing unit 4 in use
Chi, the display information that elementary area 3 detects display screen 16 reaches the image of observation unit 2 after distortion, and reads in image
Scale information, elementary area 3 passes the scale information transmission of reading to processing unit 4, processing unit 4 according to elementary area 3
Defeated data are handled, and are fitted distortion function according to data processed result.
Fig. 7 is shown as the virtual reality eyeglass distortion checking of example and the second embodiment of adjusting apparatus, to be detected
Virtual implementing helmet 13 is removably mounted in fixed structure 14, and fixed structure 14 includes clamping device 142, position-limit mechanism 141
With optical table 143, wherein, clamping device 142 can be opened, and be closed after being put into virtual implementing helmet 13 to be detected, play solid
The effect of fixed virtual implementing helmet 13 to be detected.Position-limit mechanism 141 can precisely limit the position of virtual implementing helmet 13 to be detected
Put, prevent that the position of virtual implementing helmet 13 to be detected is excessively forward or influences measurement result rearward, position-limit mechanism 141 and clamping work
Tool 142 is fixed on optical table 143.Virtual implementing helmet 13 to be detected includes display screen 16 and optical mirror slip 17, display screen
16 and optical mirror slip 17 be oppositely arranged, display screen 16 can according to the instruction of processing unit 4 show pertinent image information, display screen
The light of 16 transmittings reflects after optical mirror slip 17.Observation unit 2 includes observation eyepiece 23, eyepiece track 25, shading dress
Put 29 and motor 27, observation eyepiece 23 can be under the drive of motor 27 along the translation of eyepiece track 25, and can be in motor 27
Drive under rotational transform viewing angle.When in use, motor 27 can be coordinated with translation and be rotated, and observation eyepiece 23 is reached difference
Observation position, simulation direction of visual lines observes the light that virtual implementing helmet 13 to be detected is launched.
Fig. 8 shows the shade 29 as example, and the narrow of shade 29 is provided through on shade 29
Seam 291,291 a diameter of 1mm of slit or so, has certain depth, for ensureing thin image formation by rays condition, makes observation eyepiece 23
The light that respective direction transmits can be accurately observed, prevents the light in other directions from being had an impact to observation result.Shade
29 are removably mounted on observation eyepiece 23.
Fig. 9-Figure 10 shows the schematic diagram of the show rulers of display screen 16.When a measurement is started, display screen 16 receives everywhere
The order of reason unit 4 shows scale on center Screen show rulers, scale, and quarter is schematically illustrated in Fig. 9 and Figure 10
Degree, in actual use, for more accurate results, the yardstick of scale can be reduced, and utilize special mark
Symbol, such as the mode of lattice array, reduce display space, accurate results in the hope of further.Corresponding one of each scale is aobvious
Physical location in display screen 16, when in use, the focal length of observation eyepiece 23 can be adjusted, make observation eyepiece 23 observe through narrow
A scale is only existed in the image of the transmission of seam 291, can thus establish the position of observation eyepiece 23 and position on display screen 16
Mapping relations.
Figure 11 shows the 3rd embodiment of the virtual implementing helmet distortion complete machine detection means as example, real the 3rd
Apply in example, detection unit 1 and the structure in second embodiment are essentially identical.Virtual implementing helmet 13 to be detected is removably mounted at
In fixed structure 14.Observation unit 2 includes shade 29, movable plate 22, observation eyepiece 23, movable plate track 24, eyepiece rail
Road 25 and motor 27, observation eyepiece 23 can move under the drive of motor 27 along eyepiece track 25, convert viewing angle.Eyepiece
Track 25 is arranged on movable plate 22, and movable plate 22 can drive observation eyepiece 23, motor 27 and eyepiece track 25 together along shifting
Dynamic plate track 24 moves, and movable plate 22 can be fixed in 28 two observation positions of left eye point of observation 26 and right eye point of observation.
When in use, clamping device 142 is first turned on, is put into virtual implementing helmet 13 to be detected.Motor 27 is resetted, makes electricity
Machine 27 reaches the initial position of one end of eyepiece track 25.Now, preparation is completed before detection.When processing unit 4 receives
After the order for starting detection, a kind of monochromatic light is tested first, and motor 27 drives observation eyepiece 23 to reach first point of observation, together
When, the order display screen 16 of processing unit 4 shows the horizontal scale chi of green, and the display information that elementary area 3 examines display screen is passed through
The image of observation unit 2 is reached after distortion, and reads the scale information in image, elementary area 3 passes the scale information of reading
Processing unit 4 is handed to, processing unit 4 stores the corresponding relation.Then observation unit 2 moves to next point of observation, in repetition
State detection process.Point of observation quantity sets more, and eyeglass lens measurement result is finer, is just advantageously fitted in data.
After the completion of the detection of all points of observation, processing unit 4 collects all corresponding relations, and according to the corresponding relation fitting data of storage
The distortion function stored in storehouse.After processing unit 4, which is successfully fitted one of them, arrives several distortion functions, processing unit 4 records
And store the fitting result；When processing unit 4 can not be according to distortion function in the corresponding relation fitting data storehouse measured, place
Reason unit 4 stores corresponding relation in a manner of point function.It is right after the completion of the detection of red, green, blue one of which monochromatic light
Other two kinds of monochromatic light are detected one by one.Other monochromatic methods of adjustment are same as mentioned above.
Compared with prior art, the method that the present invention utilizes distortion data backwards calculation graduation position, establishes display screen
16 high scale positions and the one-to-one relation of the observation position of observation eyepiece 23, are fitted monochromatic using the corresponding relation
A kind of distortion function, there is provided method for detecting the dispersion of virtual implementing helmet 13 to be detected.Observation unit 2 is regarded by simulating human eye
Angle angle observes the light of the transmitting of display screen 16, is advantageous to preferably simulate the observational technique of human eye, its result tested
Also the image that human eye is actually seen is more nearly, improves accuracy and adaptability.Shade 29 and slit 291 can block
The interference light of measurement result is influenceed, ensures thin image formation by rays condition.The focal length of adjustment observation eyepiece 23 makes the image observed
In only exist a scale, contribute to elementary area 3 preferably to identify calibration information, prevent from disturbing.Multiple spot observation can enter one
Step ensures the accuracy of data.Simply have using the combination of test cell 1, observation unit 2, elementary area 3 and processing unit 4
Solves the problems, such as optical distortion detection to effect.Drive observation unit 2 to be moved along eyepiece track 25 by motor 27, can facilitate
From carrying out, facilitate the setting of multiple points of observation from multiple angles.
Embodiments of the invention are described above in conjunction with accompanying drawing, but the invention is not limited in above-mentioned specific
Embodiment, above-mentioned embodiment is only schematical, rather than restricted, one of ordinary skill in the art
Under the enlightenment of the present invention, in the case of present inventive concept and scope of the claimed protection is not departed from, it can also make a lot
Form, these are belonged within the protection of the present invention.
Claims (9)
- A kind of 1. method detected based on virtual implementing helmet dispersion corresponding to scale, it is characterised in that comprise the following steps：S1：Mobile observation unit observes virtual implementing helmet to be detected to point of observation, in the virtual implementing helmet to be detected Monochromatic horizontal scale chi is shown, the image that elementary area is observed to the observation unit is handled；S2：The calibration information that observation unit described in described image cell processing is observed, and result is transferred to processing list Member；S3：After the processing unit receives the detection information of described image unit transmission, record calibration information and the observation The corresponding relation of cell position, the observation unit are moved to next point of observation and observed；S4：The processing unit is according to multigroup calibration information of record and the corresponding relation fitting data of the observation unit position Distortion function in storehouse, and record the result of fitting.
- 2. the method according to claim 1 detected based on virtual implementing helmet dispersion corresponding to scale, it is characterised in that The light of the virtual implementing helmet transmitting to be detected reflects via optical mirror slip, and the observation unit is by simulating human eye The light of the angle observation virtual implementing helmet transmitting to be detected at visual angle.
- 3. the method according to claim 2 detected based on virtual implementing helmet dispersion corresponding to scale, it is characterised in that Further comprise the steps：S5：When data fitting is unsuccessful, the processing unit stores corresponding relation in a manner of point function.
- 4. the method according to claim 3 detected based on virtual implementing helmet dispersion corresponding to scale, it is characterised in that Further comprise the steps：S1.1 adjusts the focal length of the observation eyepiece, makes in the image through the slit transmission that the observation eyepiece observes only In the presence of a scale.
- 5. the method according to claim 4 detected based on virtual implementing helmet dispersion corresponding to scale, it is characterised in that Red, green and blue three kinds of monochromatic light are detected respectively.
- 6. a kind of device of virtual implementing helmet distortion complete machine detection, it is characterised in that including detection unit, observation unit, figure As unit and processing unit, the detection unit includes virtual implementing helmet to be detected, fixed structure, described image unit and institute State observation unit, the processing unit is electrically connected, the virtual implementing helmet to be detected includes display screen and optical frames Piece, the display screen and the optical mirror slip are oppositely arranged, and the observation unit includes shade, observation eyepiece, the screening Electro-optical device is detachably secured on the shade, and the shade includes slit.
- 7. the device of virtual implementing helmet distortion complete machine detection according to claim 6, it is characterised in that the fixed knot Structure includes clamping device, position-limit mechanism and optical table, and the clamping device can be opened, and be put into the virtual reality to be detected Closed after the helmet, the fixed virtual implementing helmet to be detected.
- 8. the device of virtual implementing helmet distortion complete machine detection according to claim 7, it is characterised in that the observation is single Member further comprises eyepiece track and motor, and the observation eyepiece eyepiece track can be put down described in the drive lower edge in the motor It is dynamic, and can under the drive of the motor rotational transform viewing angle.
- 9. the device of virtual implementing helmet distortion complete machine detection according to claim 7, it is characterised in that the observation is single Member further comprises base, movable plate, movable plate track, eyepiece track and motor, and the observation eyepiece can be in the motor Drive lower edge described in eyepiece track motion, the eyepiece track is arranged on the movable plate, and the movable plate can drive The observation eyepiece, the motor and the eyepiece track are together along the movable plate track motion.
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| CN201710544203.0A Pending CN107340595A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field region laser corresponding to scale |
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| CN201710543923.5A Pending CN107688387A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet dispersion detection |
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| CN201710543941.3A Pending CN107390364A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser is set |
| CN201710544192.6A Pending CN107544148A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser based on image scale is set |
| CN201710544200.7A Pending CN107479188A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization |
| CN201710543920.1A Pending CN108121068A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field laser sets the method and device of optimization display |
| CN201710543865.6A Pending CN107702894A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual reality eyeglass dispersion detection |
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| CN201710544194.5A Pending CN107329265A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance optimizes with depth of field laser |
| CN201710543937.7A Pending CN107490861A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization display |
| CN201710543921.6A Pending CN107300774A (en) | 2016-11-30 | 2017-07-05 | Method and device based on the corresponding virtual implementing helmet distortion checking of scale and adjustment |
| CN201710544198.3A Pending CN107544149A (en) | 2016-11-30 | 2017-07-05 | Region depth of field method to set up and device based on image scale |
| CN201710543939.6A Pending CN107526167A (en) | 2016-11-30 | 2017-07-05 | The method and device optimized based on depth of field laser corresponding to scale |
| CN201710544208.3A Pending CN107290854A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance optimizes the method and device of display with the depth of field |
| CN201710543919.9A Pending CN107422479A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field method to set up and device corresponding to scale |
| CN201710543944.7A Pending CN107544147A (en) | 2016-11-30 | 2017-07-05 | The method and device that depth of field laser based on image scale is set |
| CN201710544212.XA Pending CN107300776A (en) | 2016-11-30 | 2017-07-05 | Interpupillary distance depth of field method to set up and device based on image scale |
| CN201710543942.8A Pending CN107329264A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with the depth of field |
| CN201710543938.1A Pending CN107357038A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance and the method and device of depth of field adjustment |
| CN201710543924.XA Pending CN107357037A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet laser assisted depth of field optimization |
| CN201710543922.0A Pending CN107462400A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual reality eyeglass dispersion corresponding to scale |
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