CN106778597A - Intellectual vision measurer based on graphical analysis - Google Patents
Intellectual vision measurer based on graphical analysis Download PDFInfo
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- CN106778597A CN106778597A CN201611140016.8A CN201611140016A CN106778597A CN 106778597 A CN106778597 A CN 106778597A CN 201611140016 A CN201611140016 A CN 201611140016A CN 106778597 A CN106778597 A CN 106778597A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/032—Devices for presenting test symbols or characters, e.g. test chart projectors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
- G06V40/113—Recognition of static hand signs
Abstract
The invention discloses a kind of intellectual vision measurer based on graphical analysis, it uses display screen to show with directive eyesight and detects mark, and the gestures direction of user is recognized based on image analysis technology, direction and/or the size of next eyesight detection mark are updated according to eyesight testing result each time, until detection terminates；For conventional art, the present invention may help to user's complete independently eyesight testing of oneself, and identical with the mode that current eyesight testing agency surveys eyesight, using very convenient.
Description
Technical field
The present invention relates to image processing and pattern recognition, more particularly to a kind of Intelligent eyesight inspection based on graphical analysis
Survey instrument.
Background technology
With the raising of scientific and technological level, the high-tech product popularization degree more and more higher such as computer, smart mobile phone, panel computer,
The use of these electronic products brings many facilities to our life really, but very important is them while also band
Many harm are carried out, wherein the injury to eyesight is especially very important.
No matter from from the point of view of attractive in appearance or health, the protection to eyesight is all particularly significant, especially to the growth stage
For teenager, extraneous stimulation and itself bad use eye custom easily lead to visual impairment.
At present, eyesight detection generally uses people in particular detection mechanism (for example, hospital or optometry room with illuminating apparatus structure)
The mode of work is carried out so that user cannot independently carry out eyesight detection.
The content of the invention
It is an object of the invention to provide a kind of intellectual vision measurer based on graphical analysis, allow the user can be with to reach
The purpose of eyesight testing is independently carried out whenever and wherever possible.
The purpose of the present invention is achieved through the following technical solutions：
A kind of intellectual vision measurer based on graphical analysis, including：Image capture module, face detection module, gesture
Identification module, visual chart display module, and voice message and result display module；Wherein：
Described image acquisition module, for gathering external image, uses for face detection module with gesture recognition module；
The face detection module, Face datection is carried out for the image collected according to image capture module, if even
It is continuous repeatedly to detect face, then gestures detection scope is demarcated, and notify that visual chart display module starts eyesight and detects；
The visual chart display module, detect mark with directive eyesight for being shown according to eyesight detection algorithm,
It is additionally operable to be updated according to testing result direction and/or the size of next eyesight detection mark；
The gesture recognition module, in the range of the gestures detection demarcated, profile in one's hands being obtained by Face Detection
And analysis obtains the current gesture of user and points to；
The voice message and result display module, for comparing the current with directive of visual chart display module transmission
The expectation of eyesight detection mark is pointed to, and is pointed to the gesture that gesture recognition module is recognized, the testing result of acquisition is broadcast by voice
Report is exported with the mode of screen display.
Face datection process is as follows：
Face datection is carried out based on the good Haar feature classifiers of training in advance, and in Haar feature classifiers testing results
In, remove distracter of the area less than predetermined value；
The ratio shared by colour of skin block in testing result is calculated again, thinks to detect one when the ratio reaches certain value
Face.
It is described demarcate gestures detection in the range of, by Face Detection obtain profile in one's hands and analyze obtain user work as
Preceding gesture is pointed to be included：
The gestures detection scope of demarcation is cut out from image；
The profile of colour of skin block is obtained by the method for Face Detection, traversal finds out largest contours, as doubtful gesture profile；
Interference is determined whether by the size and length-width ratio of doubtful gesture profile, if being judged as interference explanation user also
Pointed to；Otherwise, represent and detect gesture profile；
A little, the distance found on gesture profile to profile center of gravity is the point of maximum, row for institute on traversal gesture profile
Except the interference extreme point of the continuous decline points less than preset value of both sides；
The average distance decrease speed of both sides drop point in remaining extreme point is calculated, the most fast point of decrease speed is wheel
Most prominent point on exterior feature, correspondence user points to finger tip point during a direction；
The anticlockwise one section of contour fitting of finger tip point is in line, the angle of straight line and transverse axis is calculated, angle is less than
Boundary angle then thinks that user points to laterally, otherwise it is assumed that pointing to vertical；
If being judged as transverse direction, check the laterally opposed position of profile center of gravity, its relative position with point to conversely, i.e. center of gravity
A left side is pointed in right half part explanation, otherwise is pointed to right；If being judged as vertical, the vertical relative position of inspection profile center of gravity, its
Relative position also with point to conversely, i.e. center of gravity the latter half explanation point on, otherwise point under.
It is described according to eyesight detection algorithm come show with directive eyesight detect identify, be additionally operable to according to testing result
Direction and/or size to update next eyesight detection mark include：
Eyesight detection mark has N rows from big to small, all some is regarded comprising size is identical but direction is different per a line
Power detection mark；
Starting stage, the eyesight detection mark display in direction is randomly selected from the i-th row；
Afterwards, it is continuing with being randomly selected from the i-th row the eyesight detection mark display of other direction, if continuous several times
Testing result is correct, then into drop mode；If continuous several times testing result mistake, into ascending fashion；
In drop mode, the eyesight detection mark display in direction is randomly selected from i+1 row；In ascending fashion
In, the eyesight detection mark display in direction is randomly selected from the i-th -1 row.
In drop mode, if continuous several times testing result is correct, and i+1 is equal to N, then eyesight detection terminates；If
Continuous several times testing result is correct, and i+1 is less than N, then the eyesight detection mark that a direction is randomly selected from the i-th+2 row is aobvious
Show；If continuous several times testing result mistake, eyesight detection terminates；
In ascending fashion, if continuous several times testing result mistake, and i-1 is equal to 1, then eyesight detection terminates；If
Continuous several times testing result mistake, and i+1 is more than 1, then the eyesight detection mark that a direction is randomly selected from the i-th -2 row is aobvious
Show；If continuous several times testing result is correct, eyesight detection terminates.
As seen from the above technical solution provided by the invention, shown using display screen and detect mark with directive eyesight
Know, and the gestures direction of user is recognized based on image analysis technology, according to eyesight testing result each time come under updating
The direction of one eyesight detection mark and/or size, until detection terminates；For conventional art, the present invention can be helped
User's complete independently eyesight testing of oneself, and it is identical with the mode that current eyesight testing agency surveys eyesight, using very
It is convenient.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will use needed for embodiment description
Accompanying drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this
For the those of ordinary skill in field, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of schematic diagram of intellectual vision measurer based on graphical analysis provided in an embodiment of the present invention；
Fig. 2 is a kind of workflow diagram of intellectual vision measurer based on graphical analysis provided in an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground description, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Inventive embodiment, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to protection scope of the present invention.
Fig. 1 is a kind of schematic diagram of intellectual vision measurer based on graphical analysis provided in an embodiment of the present invention.Such as Fig. 1
Shown, it mainly includes：Image capture module, face detection module, gesture recognition module, visual chart display module, Yi Jiyu
Sound is pointed out and result display module；Wherein：
Described image acquisition module, for gathering external image, uses for face detection module with gesture recognition module；
The face detection module, Face datection is carried out for the image collected according to image capture module, if even
It is continuous repeatedly to detect face, then gestures detection scope is demarcated, and notify that visual chart display module starts eyesight and detects；
The visual chart display module, detect mark with directive eyesight for being shown according to eyesight detection algorithm,
It is additionally operable to be updated according to testing result direction and/or the size of next eyesight detection mark；
The gesture recognition module, in the range of the gestures detection demarcated, profile in one's hands being obtained by Face Detection
And analysis obtains the current gesture of user and points to；
The voice message and result display module, for comparing the current with directive of visual chart display module transmission
The expectation of eyesight detection mark is pointed to, and points to (being actually pointed to) with the gesture that gesture recognition module is recognized, the detection knot of acquisition
Fruit is exported by way of voice broadcast with screen display.
In order to make it easy to understand, the course of work of 2 pairs of intellectual vision measurers elaborates below in conjunction with the accompanying drawings.
Before eyesight detection starts, external image is gathered by image capture module, it is exemplary, can set appropriate short
Realtime graphic is constantly gathered every (for example, 2s).Identify whether have face by face detection module, after face is detected, check
Face size prevents erect-position excessively closely or too far, checks that face location prevents erect-position excessively inclined, finally determines whether to be effective face, when
It is double when detecting effective face, it is believed that eyesight testing can be started, and demarcate a gestures detection scope, in order to go
Except ambient interferences can select jacket scope as gestures detection scope.
Exemplary, can in the following way carry out Face datection：Based on the good Haar feature classifiers of training in advance
Face datection is carried out, and in Haar feature classifiers testing results, removes distracter of the area less than predetermined value；Inspection is calculated again
The ratio shared by colour of skin block in result is surveyed, thinks to detect a face when the ratio reaches certain value.
After eyesight detection starts, visual chart display module is based on eyesight detection algorithm, and display is with side on the display screen
To eyesight detect mark, now can be known using Gesture Recognition Algorithm in the range of gestures detection after image is collected
Not, after recognizing a certain sensing of user, judge whether the sensing is correct, report and show judged result and examined according to eyesight
Method of determining and calculating updates direction and/or the size of next eyesight detection mark.
Afterwards, eyesight detection is repeated according to aforesaid way, until detection terminates.
Exemplary, can be conventional E marks with directive eyesight detection mark.
Exemplary, can in the following way carry out gesture direct detection：1) gestures detection that will be demarcated from image
Scope cuts out；2) profile of colour of skin block is obtained by the method for Face Detection, traversal finds out largest contours, as doubtful hand
Gesture profile；3) interference is determined whether by the size and length-width ratio of doubtful gesture profile, if being judged as interference explanation user
Also pointed to；Otherwise, represent and detect gesture profile；4) institute on traversal gesture profile a little, is found on gesture profile
Distance to profile center of gravity is the point of maximum, excludes the interference extreme point of the continuous decline points less than preset value of both sides；5)
The average distance decrease speed of both sides drop point in remaining extreme point is calculated, the most fast point of decrease speed is most prominent on profile
The point for going out, correspondence user points to finger tip point during a direction；6) by the anticlockwise one section of contour fitting of finger tip point into
Straight line, calculates the angle of straight line and transverse axis, and angle then thinks that user points to laterally less than boundary angle, otherwise it is assumed that pointing to perpendicular
To；If 7) be judged as transverse direction, the laterally opposed position of profile center of gravity is checked, its relative position is with sensing conversely, i.e. center of gravity exists
A left side is pointed in right half part explanation, otherwise points to right；If being judged as vertical, the vertical relative position of inspection profile center of gravity, its phase
To position also with point to conversely, i.e. center of gravity the latter half explanation point on, otherwise point under.
Exemplary, visual chart display module shows and is detected with directive eyesight and identify, and according to testing result come
The direction and/or size for updating next eyesight detection mark can be realized by following manner：
Eyesight detection mark has N rows (for example, 14 rows) from big to small, per a line all comprising size is identical but direction not
Same some eyesights detection mark.
Starting stage, the eyesight detection mark display in direction is randomly selected from the i-th row (eighth row)；
Afterwards, it is continuing with being randomly selected from the i-th row the eyesight detection mark display of other direction, if continuous several times
(for example, twice) testing result is correct, then into drop mode；If continuous several times testing result mistake, into upper rising mould
Formula；
In drop mode, the eyesight detection mark display in direction is randomly selected from i+1 row, if continuous many
Secondary testing result is correct, and i+1 is equal to N, then eyesight detection terminates；If continuous several times testing result is correct, and i+1 is less than N,
The eyesight detection mark display in direction is then randomly selected from the i-th+2 row；If continuous several times testing result mistake, depending on
Power detection terminates；
In ascending fashion, the eyesight detection mark display in direction is randomly selected from the i-th -1 row, if continuous many
Secondary testing result mistake, and i-1 is equal to 1, then eyesight detection terminates；If continuous several times testing result mistake, and i+1 is more than 1,
The eyesight detection mark display in direction is then randomly selected from the i-th -2 row；If continuous several times testing result is correct, depending on
Power detection terminates.
Present invention utilizes image processing and pattern recognition, corresponding software section can be carried out based on Android platform
Exploitation, image is gathered eventually through Android device, and then the sensing of user is analyzed accordingly by recognition of face and gesture identification
Situation, realizes the portable tool for detecting vision being carried in Android device.
Embodiment of the present invention such scheme, is shown using display screen and detect mark with directive eyesight, and based on image
Analytical technology recognizes the gestures direction of user, updates next eyesight detection mark according to eyesight testing result each time
Direction and/or size, until detection terminate；For conventional art, the present invention may help to user's complete independently
The eyesight testing of oneself, and it is identical with the mode that current eyesight testing agency surveys eyesight, using very convenient.
It is apparent to those skilled in the art that, for convenience and simplicity of description, only with above-mentioned each function
The division of module is carried out for example, in practical application, as needed can distribute by different function moulds above-mentioned functions
Block is completed, will the internal structure of system be divided into different functional modules, to complete all or part of work(described above
Energy.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto,
Any one skilled in the art in the technical scope of present disclosure, the change or replacement that can be readily occurred in,
Should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims
Enclose and be defined.
Claims (5)
1. a kind of intellectual vision measurer based on graphical analysis, it is characterised in that including：Image capture module, Face datection
Module, gesture recognition module, visual chart display module, and voice message and result display module；Wherein：
Described image acquisition module, for gathering external image, uses for face detection module with gesture recognition module；
The face detection module, Face datection is carried out for the image collected according to image capture module, if continuous many
It is secondary to detect face, then gestures detection scope is demarcated, and notify that visual chart display module starts eyesight and detects；
The visual chart display module, detect mark with directive eyesight for being shown according to eyesight detection algorithm, is also used
In the direction and/or size that are identified to update next eyesight to detect according to testing result；
The gesture recognition module, in the range of the gestures detection demarcated, obtaining profile in one's hands by Face Detection and dividing
Analysis obtains the current gesture of user and points to；
The voice message and result display module, for comparing the current with directive eyesight of visual chart display module transmission
Detect that the expectation of mark is pointed to, pointed to the gesture that gesture recognition module is recognized, the testing result of acquisition by voice broadcast with
The mode of screen display is exported.
2. a kind of intellectual vision measurer based on graphical analysis according to claim 1, it is characterised in that Face datection
Process is as follows：
Face datection is carried out based on the good Haar feature classifiers of training in advance, and in Haar feature classifiers testing results,
Remove distracter of the area less than predetermined value；
The ratio shared by colour of skin block in testing result is calculated again, thinks to detect a people when the ratio reaches certain value
Face.
3. a kind of intellectual vision measurer based on graphical analysis according to claim 1, it is characterised in that described in mark
In the range of fixed gestures detection, profile in one's hands is obtained by Face Detection and analysis obtains the current gesture of user and points to bag
Include：
The gestures detection scope of demarcation is cut out from image；
The profile of colour of skin block is obtained by the method for Face Detection, traversal finds out largest contours, as doubtful gesture profile；
Interference is determined whether by the size and length-width ratio of doubtful gesture profile, interference explanation user does not enter also if being judged as
Row is pointed to；Otherwise, represent and detect gesture profile；
A little, the distance found on gesture profile to profile center of gravity is the point of maximum, excludes two for institute on traversal gesture profile
The interference extreme point of the continuous decline points less than preset value of side；
The average distance decrease speed of both sides drop point in remaining extreme point is calculated, the most fast point of decrease speed is on profile
Most prominent point, correspondence user points to finger tip point during a direction；
The anticlockwise one section of contour fitting of finger tip point is in line, the angle of straight line and transverse axis is calculated, angle is less than boundary
Angle then thinks that user points to laterally, otherwise it is assumed that pointing to vertical；
If being judged as transverse direction, the laterally opposed position of profile center of gravity is checked, its relative position is with sensing conversely, i.e. center of gravity is on the right side
A left side is pointed in half part explanation, otherwise points to right；If being judged as vertical, the vertical relative position of inspection profile center of gravity, its is relative
Position also with point to conversely, i.e. center of gravity the latter half explanation point on, otherwise point under.
4. a kind of intellectual vision measurer based on graphical analysis according to claim 1, it is characterised in that the basis
Eyesight detection algorithm detect mark with directive eyesight to show, is additionally operable to update next eyesight inspection according to testing result
The direction and/or size that mark is known include：
The some eyesights inspection for having N rows from big to small, all including that size is identical but direction is different per a line of eyesight detection mark
Mark is known；
Starting stage, the eyesight detection mark display in direction is randomly selected from the i-th row；
Afterwards, it is continuing with being randomly selected from the i-th row the eyesight detection mark display of other direction, if continuous several times are detected
Result is correct, then into drop mode；If continuous several times testing result mistake, into ascending fashion；
In drop mode, the eyesight detection mark display in direction is randomly selected from i+1 row；In ascending fashion,
The eyesight detection mark display in direction is randomly selected from the i-th -1 row.
5. a kind of intellectual vision measurer based on graphical analysis according to claim 4, it is characterised in that
In drop mode, if continuous several times testing result is correct, and i+1 is equal to N, then eyesight detection terminates；If continuous
Repeated detection result is correct, and i+1 is less than N, then the eyesight detection mark display in direction is randomly selected from the i-th+2 row；
If continuous several times testing result mistake, eyesight detection terminates；
In ascending fashion, if continuous several times testing result mistake, and i-1 is equal to 1, then eyesight detection terminates；If continuous
Repeated detection result mistake, and i+1 is more than 1, then the eyesight detection mark display in direction is randomly selected from the i-th -2 row；
If continuous several times testing result is correct, eyesight detection terminates.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108634925A (en) * | 2018-03-16 | 2018-10-12 | 河海大学常州校区 | A kind of vision testing system based on gesture identification |
| CN109171637A (en) * | 2018-09-30 | 2019-01-11 | 苏州安视沛清科技有限公司 | Vision testing method, device, computer storage medium and computer equipment |
| CN110353622A (en) * | 2018-10-16 | 2019-10-22 | 武汉交通职业学院 | A kind of vision testing method and eyesight testing apparatus |
| CN110338748A (en) * | 2019-06-13 | 2019-10-18 | 宁波明星科技发展有限公司 | Quickly method, storage medium, terminal and the sight tester of positioning eyesight value |
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| CN110432859A (en) * | 2019-07-31 | 2019-11-12 | 刘葳 | A kind of vision testing method and device |
| CN110432859B (en) * | 2019-07-31 | 2021-10-19 | 刘葳 | Vision detection method and device |
| CN110916609A (en) * | 2019-12-19 | 2020-03-27 | 北京九辰智能医疗设备有限公司 | Vision detection device |
| WO2022111663A1 (en) * | 2020-11-30 | 2022-06-02 | 华为技术有限公司 | Visual acuity test method and electronic device |
| CN113243886A (en) * | 2021-06-11 | 2021-08-13 | 四川翼飞视科技有限公司 | Vision detection system and method based on deep learning and storage medium |
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