CN116421135A - Vision testing method, device, electronic equipment and storage medium - Google Patents
Vision testing method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a vision testing method, a vision testing device, electronic equipment and a storage medium. Executed by an electronic device, the method comprising: based on shooting parameter information, an eye image is acquired, a target test distance between the electronic equipment and the eye is determined according to the shooting parameter information and the eye image, and then vision test is conducted according to the eye image and the target test distance, so that the electronic equipment can accurately determine the target test distance between the electronic equipment and the eye based on the shooting parameter information and the eye image, and then accuracy of vision test can be effectively improved based on the eye image and the target test distance.
Description
Technical Field
The disclosure relates to the technical field of medical health services, and in particular relates to a vision testing method, a vision testing device, electronic equipment and a storage medium.
Background
With the development of electronic technology, vision testing based on electronic equipment becomes an important way for users to periodically detect vision, and users usually combine with the vision charts to perform vision testing at present, namely, users are required to keep a preset testing distance from the vision charts, and then the vision of the users is determined through the recognition condition of test marks on the vision charts.
In the related art, the test distance required for the vision test cannot be accurately determined, and the vision test result may be affected.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, technical problems in the related art.
To this end, the present disclosure aims to propose a vision testing method, an apparatus, an electronic device, a storage medium and a computer program product.
The vision testing method proposed by the embodiment of the first aspect of the present disclosure is executed by an electronic device, and the method includes: acquiring an eye image based on shooting parameter information; determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images; and performing vision testing according to the eye images and the target testing distance.
An embodiment of a second aspect of the present disclosure provides a vision testing apparatus for execution by an electronic device, the apparatus comprising: the acquisition module is used for acquiring eye images based on shooting parameter information; the determining module is used for determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images; and the processing module is used for performing vision testing according to the eye images and the target testing distance.
An embodiment of a third aspect of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the program to implement a vision testing method as set forth in the embodiment of the first aspect of the present disclosure.
An embodiment of a fourth aspect of the present disclosure proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, implements a vision testing method as proposed by an embodiment of the first aspect of the present disclosure.
Embodiments of a fifth aspect of the present disclosure provide a computer program product which, when executed by an instruction processor in the computer program product, performs a vision testing method as set forth in the embodiments of the first aspect of the present disclosure.
The vision testing method provided by the embodiment of the disclosure can comprise the following beneficial effects: based on shooting parameter information, an eye image is acquired, a target test distance between the electronic equipment and the eye is determined according to the shooting parameter information and the eye image, and then vision test is carried out according to the eye image and the target test distance, so that the electronic equipment can accurately determine the target test distance between the electronic equipment and the eye based on the shooting parameter information and the eye image, and then the accuracy of the vision test can be effectively improved based on the eye image and the target test distance.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a vision testing method according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a vision testing method according to another embodiment of the present disclosure;
FIG. 3 is a flow chart of a vision testing method according to another embodiment of the present disclosure;
fig. 4 is a schematic diagram of key points in a pupil partial image according to an embodiment of the present disclosure;
FIG. 5 is a flow chart of a vision testing method according to another embodiment of the present disclosure;
FIG. 6 is a schematic view of a vision testing device according to an embodiment of the present disclosure;
fig. 7 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.
It should be noted that, in the technical scheme of the present disclosure, the processes of acquiring, collecting, storing, using, processing, etc. of the data all conform to the rules of relevant laws and regulations, and do not violate the popular regulations of the public order.
Fig. 1 is a flow chart of a vision testing method according to an embodiment of the present disclosure.
It should be noted that, the execution body of the vision testing method in this embodiment is a vision testing device, and the device may be implemented in a software and/or hardware manner, and the device may be configured in an electronic device, where the electronic device may include, but is not limited to, a terminal, a server, and the like.
As shown in fig. 1, the vision testing method is performed by an electronic device, which needs to be configured with an image capturing device, and the electronic device may be, for example, a mobile phone, a tablet computer, a notebook computer, or the like, which is not limited thereto.
S101: based on the shooting parameter information, an eye image is acquired.
The shooting parameter information refers to a camera parameter of the image capturing device of the electronic device, and the camera parameter may be, for example, a camera internal parameter, a camera external parameter, a focal length, and the like, which is not limited thereto.
The eye image refers to a local image acquired by an image pickup device of the electronic device and used for describing eyes of a vision test user, and the eye image can be, for example, a left eye image and a right eye image, which is not limited.
That is, in the embodiment of the present disclosure, the image capturing device of the electronic device (the image capturing device has corresponding capturing parameter information) may capture a corresponding image of the eye region of the vision test user as an eye image, or may capture a face image of the object to be detected by the image capturing device of the electronic device, and then, may clip the captured face image to obtain the eye image, which is not limited.
S102: and determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images.
It will be appreciated that in performing a vision test on a user, the user is required to maintain a predetermined test distance from the eye chart, and then the user's vision is determined by the identification of test marks on the eye chart.
In the embodiment of the disclosure, the test mark displayed in the visual acuity chart is displayed in the electronic equipment, then the horizontal straight line distance between the electronic equipment and the eyes is determined to be the target test distance, and then the electronic equipment can determine the eyesight of the user based on the recognition condition of the test mark displayed by the electronic equipment by the user, so that compared with the traditional visual acuity chart test method, the visual acuity test method provided by the embodiment of the disclosure does not need to be manually participated, so that the user can perform visual acuity test by himself based on the electronic equipment, and the convenience of visual acuity test can be improved.
In some embodiments, the target test distance between the electronic device and the eye may be determined according to the shooting parameter information and the eye image, and the shooting parameter information and the eye image may be calculated by the electronic device to determine the target test distance between the electronic device and the eye, for example, a corresponding deep learning model for determining the target test distance may be trained by the electronic device, and then the shooting parameter information and the eye image may be provided to the deep learning model, and the shooting parameter information and the eye image may be processed by the deep learning model to determine the target test distance without limitation.
S103: and performing vision testing according to the eye images and the target testing distance.
According to the embodiment of the disclosure, after the eye images of the vision testing user are obtained and the target testing distance between the eyes of the vision testing user and the electronic equipment is determined, the vision testing can be performed according to the eye images and the target testing distance.
For example, in the case that the target test distance is maintained between the eyes of the vision test user and the electronic device, the electronic device displays the test mark with the corresponding vision value, then receives the identification information of the test mark from the user, compares the identification information with the test mark, determines the vision of the user according to the vision value corresponding to the test mark when the comparison result shows that the identification information is the same as the currently displayed test mark, or switches to display other test marks with different vision values when the comparison result shows that the identification information is different from the currently displayed test mark, which is not limited.
In this embodiment, the eye image is collected based on the shooting parameter information, the target test distance between the electronic device and the eye is determined according to the shooting parameter information and the eye image, and then the vision test is performed according to the eye image and the target test distance, so that the electronic device can accurately determine the target test distance between the electronic device and the eye based on the shooting parameter information and the eye image, and then the accuracy of the vision test can be effectively improved based on the eye image and the target test distance.
Fig. 2 is a flow chart of a vision testing method according to another embodiment of the present disclosure.
As shown in fig. 2, the vision testing method includes:
s201: and acquiring at least one frame of face image based on the shooting parameter information.
The face image is an image containing the face of the vision testing user, which is acquired by the camera device of the electronic equipment.
That is, an image pickup device (which has corresponding photographing parameter information) which may be an electronic apparatus photographs a corresponding image for a face area of a vision test user as a face image.
In the embodiment of the disclosure, at least one frame of face image is acquired, and the image capturing device may also be an image capturing device of an electronic device (the image capturing device has corresponding capturing parameter information), and the corresponding video stream is collected for a vision test user, and then the video stream may be subjected to analysis processing to obtain a plurality of video frames, and the plurality of video frames are sequentially input into a face key point detection model, whether the video frames contain a face is detected by the face key point detection model, and when the face key point detection model detects that the video frames contain a face, the video frames are used as the face image, which is not limited.
S202: and adjusting the face image according to the preset pixel size information to obtain an image to be detected.
The preset pixel size information may be a predetermined pixel size (for example, 480 a wide 640 a high, which is not limited).
In the embodiment of the disclosure, the pixel sizes of the face images acquired by different electronic devices may be different, so that the face image is adjusted according to preset pixel size information, that is, the pixel size of the acquired face image is adjusted to a preset pixel size described by the preset pixel size information, and the adjusted face image is used as the image to be detected.
For example, the pixel size of the face image acquired by the electronic device is 400 wide and 600 high, so that pixel interpolation can be performed on the face image, and the pixel size of the face image is adjusted to a preset pixel size (480 wide and 640 high) described by preset pixel size information, so as to obtain an image to be detected, which is not limited.
S203: and extracting an eye image from the image to be detected to obtain at least one frame of eye image.
According to the embodiment of the disclosure, after the face image is adjusted according to the preset pixel size information to obtain the image to be detected, the pixel coordinates of the key points of the human eyes in the image to be detected can be taken out, then the pixel coordinates of the key points of the left eye and the right eye are differenced to calculate the eye distance between the two eyes, half of the eye distance is taken as the width of the cut eye image, and then the left eye image and the right eye image can be cut out with the width to serve as the eye image.
In the embodiment of the disclosure, at least one frame of face image is obtained based on shooting parameter information, the face image is adjusted according to preset pixel size information to obtain an image to be detected, and then the eye image is extracted from the image to be detected to obtain at least one frame of eye image, so that the pixel sizes acquired by different electronic devices can be uniformly adjusted based on the preset pixel size information, and the influence on vision test caused by non-uniformity of the pixel sizes of the images acquired by the different electronic devices can be solved.
S204: and determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images.
The description of S204 may be specifically referred to the above embodiments, and will not be repeated here.
S205: and determining a distance difference value between the target test distance and the preset distance.
The preset distance is a preset optimal test distance for performing vision test on a vision test user, and is generally 40cm, without limitation, with reference to a test distance standard of vision test specified by national standard GB 11533-2011.
In the embodiment of the present disclosure, after determining the target test distance between the electronic device and the eye, a distance difference between the target test distance and the preset distance may be determined, and then, a subsequent vision testing method may be triggered and executed based on the distance difference, which may be specifically referred to the subsequent embodiment and will not be described herein.
S206: and if the distance difference is less than or equal to the difference threshold, determining that the target test distance meets the distance condition.
According to the embodiment of the disclosure, the distance difference between the target test distance and the preset distance is determined, and whether the target test distance meets the distance condition can be judged according to the distance difference.
When the distance difference value is smaller than or equal to the difference value threshold value, the embodiment of the disclosure determines that the target test distance meets the distance condition.
S207: and performing vision testing according to the eye images in response to the condition that the target testing distance meets the distance condition.
In the embodiment of the disclosure, when the target test distance is determined to meet the distance condition, the vision test can be performed according to the eye image.
Optionally, in some embodiments, the vision testing is performed according to the eye image, which may be that eye state information of the eye is determined according to the eye image, where the eye state information is information indicating an open-close state of the eye, and the vision testing is performed according to the eye state information, so that a corresponding vision testing procedure can be triggered according to the open-close state of the eye of the user for vision testing, and invalid testing operation is avoided when the vision testing cannot be performed due to the eye state, so that the vision testing procedure can be standardized based on the eye state information.
In the embodiment of the disclosure, the eye state information of the eye is determined according to the eye image, pupil identification can be performed on the eye image, the eye is determined to be in an open state when the pupil can be identified from the eye image, and the eye is determined to be in a closed state when the pupil is not identified from the eye image, which is not limited.
For example, the vision test may be performed according to the eye state information, when the left eye is in a closed-eye state and the right eye is in an open-eye state, the vision test may be performed on the right eye of the user for vision test, and when the left eye is in an open-eye state and the right eye is in a closed-eye state, the vision test may be performed on the left eye of the user for vision test.
Or, the vision test is performed according to the eye state information, or the eye closing prompt information is generated when the left eye is in an open state and the right eye is in an open state, wherein the eye closing prompt information is used for prompting the vision test user to close the left eye or the right eye, and the eye opening prompt information is generated when the left eye is in a closed state and the right eye is in a closed state, wherein the eye opening prompt information is used for prompting the vision test user to open the left eye or the right eye.
S208: and if the distance difference is greater than the difference threshold, determining that the target test distance does not meet the distance condition.
In the embodiment of the disclosure, when it is determined that the target test distance does not meet the distance condition, vision test is not performed, in addition, the electronic device may generate a corresponding prompt message to prompt the user to adjust the test distance between the electronic device and the electronic device, and after the user adjusts the test distance between the electronic device and the electronic device, trigger to execute the steps S201 to S205 described above until it is determined that the target test distance meets the distance condition.
According to the embodiment of the disclosure, at least one frame of face image is obtained based on shooting parameter information, the face image is adjusted according to preset pixel size information to obtain an image to be detected, the eye image is extracted from the image to be detected to obtain at least one frame of eye image, the pixel sizes acquired by different electronic devices can be uniformly adjusted based on the preset pixel size information, the influence on vision testing caused by non-uniformity of the pixel sizes of the images acquired by the different electronic devices can be solved, the target testing distance between the electronic devices and the eyes is determined according to the shooting parameter information and the eye image, the distance difference between the target testing distance and the preset distance is determined, so that when the distance difference is smaller than or equal to a difference threshold, the target testing distance meets the distance condition, vision testing is performed according to the eye image, accuracy of the vision testing is effectively improved, when the distance difference is larger than the threshold, the target testing distance does not meet the distance condition, the influence on vision testing caused by non-uniformity of the pixel sizes of the images acquired by the different electronic devices is avoided, and the problem that when the target testing distance does not meet the distance condition, the target testing distance does not meet the distance condition is avoided, and the problem that the target testing is caused by the vision testing condition is caused by the fact that the target testing is not has the vision testing condition is solved.
Fig. 3 is a flow chart of a vision testing method according to another embodiment of the present disclosure.
As shown in fig. 3, the vision testing method includes:
s301: based on the shooting parameter information, an eye image is acquired.
The description of S301 may specifically be taken in the above embodiment, and will not be repeated here.
S302: position information of the pupil partial image relative to the eye image is determined.
The partial image used for describing the pupil of the vision test user in the eye image is the pupil partial image.
The position information is used to describe the position of the pupil local image relative to the eye image, and may be, for example, the pixel coordinates of a certain key point of the pupil local image in the eye image, which is not limited.
In the embodiment of the disclosure, the determining the position information of the pupil partial image relative to the eye image may be inputting the pupil partial image into a pre-trained pupil prediction model, and processing and outputting the pixel coordinates of the key points of the pupil partial image in the eye image via the pupil prediction model as the position information of the pupil partial image relative to the eye image.
S303: the iris size of the eye is determined.
The iris size may be, for example, an iris diameter, without limitation.
In the embodiment of the present disclosure, the iris size of the eye may be determined by determining the average iris diameter of the vision test user group as the iris size (the average iris diameter of the user group is about 11.4 mm), which is not limited.
S304: and determining candidate test distances between the electronic equipment and the eyes according to the position information, the iris size and the shooting parameter information.
After determining the position information of the pupil partial image relative to the eye image and determining the iris size of the eye, the embodiment of the disclosure can determine the candidate test distance between the electronic device and the eye according to the position information, the iris size and the shooting parameter information.
In some embodiments, the candidate test distance between the electronic device and the eye is determined according to the position information, the iris size and the shooting parameter information, which may be calculated by the electronic device to determine the candidate test distance between the electronic device and the eye, for example, a corresponding deep learning model for determining the target test distance may be trained by the electronic device, and then the position information, the iris size and the shooting parameter information may be provided to the deep learning model, and the position information, the iris size and the shooting parameter information may be processed by the deep learning model to determine the target test distance without limitation.
In an embodiment of the present disclosure, the location information includes: the initial key point coordinates of at least one key point in the pupil partial image, and the shooting parameter information comprises: focal length of the camera.
The key points of the pupil partial image may be, for example, a pupil center point, and a plurality of key points located at the edge of the pupil partial image with the pupil center point as a symmetry center, as shown in fig. 4, and fig. 4 is a schematic diagram of the key points in the pupil partial image according to an embodiment of the disclosure.
The pixel coordinates of the keypoints in the pupil partial image may be referred to as initial keypoint coordinates.
Optionally, in some embodiments, the candidate test distance between the electronic device and the eye may be determined according to the position information, the iris diameter and the shooting parameter information, which may be determining target key point coordinates of a key point in the image to be detected, determining pupil size of the pupil partial image according to at least two target key point coordinates, determining a product between the iris size and the focal length, and taking a ratio between the product and the pupil size as the candidate test distance, so that the electronic device can accurately determine the candidate test distance between the electronic device and the eye based on the position information, the iris diameter and the shooting parameter information.
The pupil size refers to the pupil diameter of the pupil described by the pupil partial image, and is not limited thereto.
In the embodiment of the disclosure, the key points in the pupil partial image are mapped into the image to be detected, and the pixel coordinates of the key points in the pupil partial image in the image to be detected are determined as target key point coordinates.
In the embodiment of the disclosure, referring to fig. 4, the pupil size of the pupil partial image is determined according to at least two target key point coordinates, which may be, for example, the target key point coordinates of two key points of the point 1 and the point 3 are selected, and then, the distance between the target key point coordinates of two key points of the point 1 and the point 3 may be determined as the pupil size.
After determining the pupil size, the focal length and the iris size, the embodiment of the disclosure may determine the pupil size of the pupil partial image, determine the product between the iris size and the focal length, and use the ratio between the product and the pupil size as a candidate test distance D, as shown in the following formula:
wherein H represents the iris size, H represents the pupil size, D represents the candidate test distance, and D represents the focal length of the electronic device camera.
S305: and determining the target test distance according to the at least one candidate test distance.
After determining a plurality of candidate test distances between the electronic device and the eye, the embodiments of the present disclosure may determine a target test distance based on at least one candidate test distance.
In some embodiments, the target test distance may be determined according to at least one candidate test distance, where any candidate test distance among a plurality of candidate test distances is determined as the target test distance, or where a candidate test distance that is the same as a preset test distance is determined as the target test distance when the candidate test distance is the same as the preset test distance, which is not limited.
Optionally, in some embodiments, the determining the target test distance according to at least one candidate test distance may be dividing at least a part of the candidate test distances into test distance groups when the candidate test distances are plural, to obtain plural test distance groups, determining a distance standard deviation and an average distance between at least a part of the candidate test distances in each test distance group, and when a distance difference between all candidate test distances and the average distance in the test distance group is smaller than a target product value, taking any one of the candidate test distances in the test distance group as the target test distance, where the target product value is a product value between a preset multiple and a distance standard deviation, thereby implementing grouping screening on the plural candidate test distances, and thus guaranteeing stability of a subsequent processing process, and avoiding that the subsequent target test distance frequently does not reach standards and affects an overall vision test progress.
Wherein the test distance group may contain n candidate test distances.
That is, embodiments of the present disclosure may divide a plurality of candidate test distances into test distances after determining the plurality of candidate test distances, each test distance lease including n candidate test distances.
In the embodiment of the disclosure, an average distance M between at least some candidate test distances in each test distance group may be determined, and a distance variance S2 between at least some candidate test distances in each test distance group may be determined in combination with the average distance, as shown in the following formula:
wherein S2 represents a standard deviation of distances, n represents the number of candidate test distances in one test distance group, M is an average distance between at least some candidate test distances in each test distance group, and xn represents the candidate test distances.
The standard deviation σ of the distance between at least some of the candidate test distances in each test distance group may then be determined:
when the distance difference between all candidate test distances and the average distance in the test distance group is smaller than the target product value, any candidate test distance in the test distance group is taken as the target test distance, wherein the target product value is the product value (for example, 0.5 x sigma, without limitation) between the preset multiple and the distance standard deviation, that is, when xn-M <0.5 x sigma, any candidate test distance in the test distance group is determined as the target test distance, and then vision test can be performed based on the target distance.
S306: and performing vision testing according to the eye images and the target testing distance.
The description of S306 may be specifically referred to the above embodiments, and will not be repeated here.
According to the embodiment of the disclosure, based on shooting parameter information, an eye image is acquired, position information of a pupil partial image relative to the eye image is determined, iris size of the eye is determined, candidate test distance between the electronic device and the eye is determined according to the position information, the iris size and the shooting parameter information, so that the electronic device can accurately determine the candidate test distance between the electronic device and the eye based on the position information, the iris diameter and the shooting parameter information, then a target test distance is determined according to at least one candidate test distance, vision test is performed according to the eye image and the target test distance, and accordingly the electronic device can accurately determine the target test distance between the electronic device and the eye based on the shooting parameter information and the eye image, and accuracy of the vision test can be effectively improved based on the eye image and the target test distance.
Fig. 5 is a flow chart of a vision testing method according to an embodiment of the present disclosure.
As shown in fig. 5, the vision testing method includes:
s501: and acquiring at least one frame of face image based on the shooting parameter information.
S502: and adjusting the face image according to the preset pixel size information to obtain an image to be detected.
S503: and extracting an eye image from the image to be detected to obtain at least one frame of eye image.
S504: and determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images.
S505: and determining a distance difference value between the target test distance and the preset distance.
S506: and if the distance difference is less than or equal to the difference threshold, determining that the target test distance meets the distance condition.
The descriptions of S501-S506 can be specifically referred to the above embodiments, and are not repeated here.
S507: and displaying the test mark in a preset time period under the condition that the target test distance meets the distance condition, wherein the test mark has corresponding test information.
Wherein the test mark is a character, pattern, etc. for recognition to a vision test user during vision testing, for example, "E", an animal pattern for recognition to children, etc., without limitation.
The test information may be a vision value corresponding to the test mark, which is not limited.
In the embodiment of the disclosure, under the condition that the target test distance meets the distance condition, the test mark with corresponding test information of the preset duration can be displayed in the display interface of the electronic equipment.
S508: and obtaining test matching information, wherein the test matching information is used for describing the recognition result of the user on the test mark and the matching condition of the test mark in a preset time period.
The test matching information is used for describing the recognition result of the user on the test mark and the matching condition of the test mark in a preset time period.
That is, in the embodiment of the present disclosure, after the electronic device displays the test mark within the preset time period, the electronic device may receive the recognition result of the test mark by the vision test user, compare the recognition result with the test mark, determine that the recognition result is matched with the test mark when the recognition result is identical to the test mark, and determine that the recognition result is not matched with the test mark when the recognition result is not identical to the test mark.
S509: and performing vision testing according to the test matching information and the test information.
Optionally, in some embodiments, the vision test is performed according to the test matching information and the test information, where the first test mark is displayed when the test matching information indicates that the recognition result and the test mark are not matched, and the number of the test matching information is counted to obtain a first number, where the mark sizes between the test mark and the first test mark are the same, and when the first number reaches the first number threshold, a second test mark is displayed until the recognition result obtained based on the second test mark is matched with the second test mark, and the test information of the second test mark is used as the vision test result, where the mark size of the second test mark is larger than the test mark.
In embodiments of the present disclosure, the number of test marks is a plurality, at least some of the marks between the test marks being the same size.
Wherein the first test mark is a test mark of the same size as the previously displayed test mark and the second test mark is a test mark of a size larger than the previously displayed test mark.
That is, in the embodiment of the present disclosure, when the test matching information indicates that the recognition result and the test mark do not match, a first test mark having the same size as the previously displayed test mark may be displayed, and the number of the test matching information may be counted to obtain a first number, and when the first number reaches a first number threshold, a second test mark having a mark size larger than that of the previously displayed test mark may be displayed until the recognition result obtained based on the second test mark matches the second test mark, and the test information of the second test mark may be used as the vision test result.
S510: and if the distance difference is greater than the difference threshold, determining that the target test distance does not meet the distance condition.
The descriptions of S510-S510 may be specifically referred to the above embodiments, and are not repeated here.
According to the method, at least one frame of face image is obtained based on shooting parameter information, the face image is adjusted according to preset pixel size information to obtain an image to be detected, then an eye image is extracted from the image to be detected to obtain at least one frame of eye image, then a target test distance between electronic equipment and eyes is determined according to the shooting parameter information and the eye image, a distance difference between the target test distance and the preset distance is determined, and then a distance difference between the target test distance and the preset distance is determined, so that when the distance difference is smaller than or equal to a difference threshold value, the target test distance can be accurately determined to meet a distance condition, and when the target test distance meets the distance condition, a test mark is displayed within a preset time period, wherein the test mark has corresponding test information, test matching information is obtained, the test matching information is used for describing a recognition result of the test mark and a matching condition of the test mark within the preset time period, and testing is carried out according to the test matching information, thus the convenience of test operation is improved, the user can automatically test the test mark displayed by the combined electronic equipment, the user can effectively improve the test, when the distance difference is smaller than or equal to the difference threshold value, and when the distance difference between the target test distance meets the distance condition and the target test condition is not met, the distance is not equal to the distance condition, and when the distance is not equal to the distance difference is not equal to the distance condition, and the distance is not equal to the distance condition is not met, and the distance is not longer than the distance condition is not required to the distance condition.
Fig. 6 is a schematic structural diagram of a vision testing device according to an embodiment of the present disclosure.
As shown in fig. 6, the vision testing apparatus 60 includes:
the acquisition module 601 is configured to acquire an eye image based on shooting parameter information;
the determining module 602 is configured to determine a target test distance between the electronic device and the eye according to the shooting parameter information and the eye image;
the processing module 603 is configured to perform vision testing according to the eye image and the target test distance.
In some embodiments of the present disclosure, the processing module 603 is further configured to:
and performing vision testing according to the eye images in response to the condition that the target testing distance meets the distance condition.
In some embodiments of the present disclosure, the number of frames of the ocular image is at least one frame; wherein, the collection module 601 is further configured to:
acquiring at least one frame of face image based on shooting parameter information;
adjusting the face image according to preset pixel size information to obtain an image to be detected;
and extracting an eye image from the image to be detected to obtain at least one frame of eye image.
In some embodiments of the present disclosure, the ocular image comprises: pupil partial images and iris partial images; wherein, the determining module 602 is further configured to:
Determining position information of the pupil partial image relative to the eye image;
determining an iris size of the eye;
determining candidate test distances between the electronic equipment and eyes according to the position information, the iris size and the shooting parameter information;
and determining the target test distance according to the at least one candidate test distance.
In some embodiments of the present disclosure, the location information includes: the initial key point coordinates of at least one key point in the pupil partial image, and the shooting parameter information comprises: a focal length of the photographing device;
wherein, the determining module 602 is further configured to:
determining target key point coordinates of key points in an image to be detected;
determining pupil size of the pupil partial image according to the coordinates of at least two target key points;
the product between iris size and focal length is determined and the ratio between the product and pupil size is taken as the candidate test distance.
In some embodiments of the present disclosure, the determining module 602 is further configured to:
if the candidate test distances are multiple, dividing at least part of the candidate test distances into test distance groups to obtain multiple test distance groups;
determining a distance standard deviation and an average distance between at least some of the candidate test distances in each test distance group;
And if the distance difference between all the candidate test distances and the average distance in the test distance group is smaller than the target product value, taking any one candidate test distance in the test distance group as the target test distance, wherein the target product value is the product value between the preset multiple and the distance standard deviation.
In some embodiments of the present disclosure, the processing module 603 is further configured to:
determining eye state information of the eyes according to the eye images, wherein the eye state information is information representing the open and close states of the eyes;
and performing vision testing according to the eye state information.
In some embodiments of the present disclosure, the processing module 603 is further configured to:
displaying a test mark within a preset time length, wherein the test mark has corresponding test information;
obtaining test matching information, wherein the test matching information is used for describing the recognition result of a user on the test mark and the matching condition of the test mark in a preset time period;
and performing vision testing according to the test matching information and the test information.
In some embodiments of the present disclosure, the number of test marks is a plurality, at least some of the marks between the test marks being the same size; wherein, the processing module 603 is further configured to:
If the test matching information indicates that the identification result is not matched with the test mark, displaying a first test mark, and counting the number of the test matching information to obtain a first number of times, wherein the sizes of the marks between the test mark and the first test mark are the same;
and if the first time number reaches the first time number threshold, displaying a second test mark until the identification result obtained based on the second test mark is matched with the second test mark, and taking the test information of the second test mark as a vision test result, wherein the mark size of the second test mark is larger than that of the test mark.
In some embodiments of the present disclosure, the processing module 603 is further configured to:
determining a distance difference value between the target test distance and a preset distance;
if the distance difference is smaller than or equal to the difference threshold, determining that the target test distance meets the distance condition;
and if the distance difference is greater than the difference threshold, determining that the target test distance does not meet the distance condition.
Corresponding to the vision testing method provided by the embodiments of fig. 1 to 5, the present disclosure also provides a vision testing device, and since the vision testing device provided by the embodiments of the present disclosure corresponds to the vision testing method provided by the embodiments of fig. 1 to 5, the implementation of the vision testing method is also applicable to the vision testing device provided by the embodiments of the present disclosure, and will not be described in detail in the embodiments of the present disclosure.
In this embodiment, the eye image is collected based on the shooting parameter information, the target test distance between the electronic device and the eye is determined according to the shooting parameter information and the eye image, and then the vision test is performed according to the eye image and the target test distance, so that the electronic device can accurately determine the target test distance between the electronic device and the eye based on the shooting parameter information and the eye image, and then the accuracy of the vision test can be effectively improved based on the eye image and the target test distance.
In order to achieve the above embodiments, the present disclosure further proposes an electronic device including: the vision testing system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the vision testing method according to the previous embodiment of the disclosure when executing the program.
To achieve the above-described embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a vision testing method as proposed by the foregoing embodiments of the present disclosure.
To achieve the above embodiments, the present disclosure also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs a vision testing method as proposed by the previous embodiments of the present disclosure.
Fig. 7 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure. The electronic device shown in fig. 7 is merely an example, and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 7, the electronic device is in the form of a general purpose computing device. Components of an electronic device may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Electronic devices typically include a variety of computer system readable media. Such media can be any available media that can be accessed by the electronic device and includes both volatile and nonvolatile media, removable and non-removable media.
Although not shown in fig. 7, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described in this disclosure.
The electronic device may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the electronic device, and/or with any device (e.g., network card, modem, etc.) that enables the electronic device to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. And the electronic device may also communicate with one or more networks, such as a local area network (Local Area Network; hereinafter: LAN), a wide area network (Wide Area Network; hereinafter: WAN) and/or a public network, such as the Internet, via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with an electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the vision testing method mentioned in the foregoing embodiment.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.
Claims (13)
1. A vision testing method, performed by an electronic device, the method comprising:
acquiring an eye image based on shooting parameter information;
determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images;
and performing vision testing according to the eye images and the target testing distance.
2. The method of claim 1, wherein said performing a vision test based on said eye image and said target test distance comprises:
and in response to the target test distance meeting a distance condition, performing the vision test according to the eye image.
3. The method of claim 2, wherein the number of frames of the ocular image is at least one frame; wherein, based on shooting parameter information, gather eye image, include:
Acquiring at least one frame of face image based on shooting parameter information;
adjusting the face image according to preset pixel size information to obtain an image to be detected;
and extracting the eye image from the image to be detected to obtain at least one frame of eye image.
4. The method of claim 3, wherein the ocular image comprises: pupil partial images and iris partial images;
the determining, according to the shooting parameter information and the eye image, a target test distance between the electronic device and the eye includes:
determining positional information of the pupil partial image relative to the eye image;
determining an iris size of the eye;
determining candidate test distances between the electronic equipment and the eyes according to the position information, the iris size and the shooting parameter information;
and determining the target test distance according to at least one candidate test distance.
5. The method of claim 4, wherein the location information comprises: the initial key point coordinates of at least one key point in the pupil partial image, and the shooting parameter information includes: a focal length of the photographing device;
Wherein the determining a candidate test distance between the electronic device and the eye according to the position information, the iris diameter and the photographing parameter information includes:
determining target key point coordinates of the key points in the image to be detected;
determining the pupil size of the pupil partial image according to at least two target key point coordinates;
and determining the product between the iris size and the focal length, and taking the ratio between the product and the pupil size as the candidate test distance.
6. The method of claim 4, wherein said determining said target test distance based on at least one of said candidate test distances comprises:
if the candidate test distances are multiple, dividing at least part of the candidate test distances into test distance groups to obtain multiple test distance groups;
determining a standard deviation and an average distance between at least some of the candidate test distances in each of the test distance groups;
and if the distance difference between all the candidate test distances and the average distance in the test distance group is smaller than a target product value, taking any one of the candidate test distances in the test distance group as the target test distance, wherein the target product value is a product value between a preset multiple and the distance standard deviation.
7. The method of claim 2, wherein said performing said vision test from said eye image comprises:
determining eye state information of the eyes according to the eye images, wherein the eye state information is information representing the opening and closing states of the eyes;
and carrying out the vision test according to the eye state information.
8. The method of any one of claims 1-7, wherein performing a vision test comprises:
displaying a test mark within a preset time length, wherein the test mark has corresponding test information;
obtaining test matching information, wherein the test matching information is used for describing the recognition result of the user on the test mark and the matching condition of the test mark within the preset time length;
and performing the vision test according to the test matching information and the test information.
9. The method of claim 8, wherein the number of test marks is a plurality, at least some of the marks between the test marks being the same size; wherein, according to the test matching information and the test information, performing the vision test includes:
If the test matching information indicates that the identification result is not matched with the test mark, displaying a first test mark, and counting the number of the test matching information to obtain a first number of times, wherein the sizes of the test mark and the first test mark are the same;
and if the first time number reaches a first time number threshold value, displaying a second test mark until the identification result obtained based on the second test mark is matched with the second test mark, and taking the test information of the second test mark as a vision test result, wherein the mark size of the second test mark is larger than that of the test mark.
10. The method of claim 2, wherein the method further comprises:
determining a distance difference value between the target test distance and a preset distance;
if the distance difference is less than or equal to a difference threshold, determining that the target test distance meets the distance condition;
and if the distance difference value is larger than the difference value threshold value, determining that the target test distance does not meet the distance condition.
11. An vision testing apparatus for execution by an electronic device, the apparatus comprising:
The acquisition module is used for acquiring eye images based on shooting parameter information;
the determining module is used for determining a target test distance between the electronic equipment and the eyes according to the shooting parameter information and the eye images;
and the processing module is used for performing vision testing according to the eye images and the target testing distance.
12. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-10.
13. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-10.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1686051A (en) * | 2005-05-08 | 2005-10-26 | 上海交通大学 | Canthus and pupil location method based on VPP and improved SUSAN |
| CN103119623A (en) * | 2010-09-24 | 2013-05-22 | 松下电器产业株式会社 | Pupil detection device and pupil detection method |
| JP2018047049A (en) * | 2016-09-21 | 2018-03-29 | 株式会社ニデック | Subjective optometer and subjective optometric program |
| US20190246896A1 (en) * | 2016-09-15 | 2019-08-15 | Essilor International | Measurement method for the determination of a value of a visual correction need for near vision of an individual |
| US20200022577A1 (en) * | 2015-03-10 | 2020-01-23 | Eyefree Assisting Communication Ltd. | System and method for enabling communication through eye feedback |
| CN111904375A (en) * | 2020-07-13 | 2020-11-10 | 中山大学中山眼科中心 | Visual chart for self-test and use method thereof |
| GB202019264D0 (en) * | 2020-12-08 | 2021-01-20 | Kay Pictures Ltd | Vision Assessment |
| CN112799508A (en) * | 2021-01-18 | 2021-05-14 | Oppo广东移动通信有限公司 | Display method and device, electronic equipment and storage medium |
| CN113509136A (en) * | 2021-04-29 | 2021-10-19 | 京东方艺云(北京)科技有限公司 | Detection method, vision detection method, device, electronic equipment and storage medium |
| CN113920195A (en) * | 2021-10-08 | 2022-01-11 | Oppo广东移动通信有限公司 | Distance detection method, control method, device, storage medium and electronic equipment |
| CN115039130A (en) * | 2020-12-22 | 2022-09-09 | 株式会社燕孵 | Method, device and program for estimating apparent distance |
| US20230020578A1 (en) * | 2021-07-07 | 2023-01-19 | Warby Parker Inc. | Systems and methods for vision test and uses thereof |
-
2023
- 2023-04-27 CN CN202310474920.6A patent/CN116421135A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1686051A (en) * | 2005-05-08 | 2005-10-26 | 上海交通大学 | Canthus and pupil location method based on VPP and improved SUSAN |
| CN103119623A (en) * | 2010-09-24 | 2013-05-22 | 松下电器产业株式会社 | Pupil detection device and pupil detection method |
| US20200022577A1 (en) * | 2015-03-10 | 2020-01-23 | Eyefree Assisting Communication Ltd. | System and method for enabling communication through eye feedback |
| US20190246896A1 (en) * | 2016-09-15 | 2019-08-15 | Essilor International | Measurement method for the determination of a value of a visual correction need for near vision of an individual |
| JP2018047049A (en) * | 2016-09-21 | 2018-03-29 | 株式会社ニデック | Subjective optometer and subjective optometric program |
| CN111904375A (en) * | 2020-07-13 | 2020-11-10 | 中山大学中山眼科中心 | Visual chart for self-test and use method thereof |
| GB202019264D0 (en) * | 2020-12-08 | 2021-01-20 | Kay Pictures Ltd | Vision Assessment |
| CN115039130A (en) * | 2020-12-22 | 2022-09-09 | 株式会社燕孵 | Method, device and program for estimating apparent distance |
| CN112799508A (en) * | 2021-01-18 | 2021-05-14 | Oppo广东移动通信有限公司 | Display method and device, electronic equipment and storage medium |
| CN113509136A (en) * | 2021-04-29 | 2021-10-19 | 京东方艺云(北京)科技有限公司 | Detection method, vision detection method, device, electronic equipment and storage medium |
| US20230020578A1 (en) * | 2021-07-07 | 2023-01-19 | Warby Parker Inc. | Systems and methods for vision test and uses thereof |
| CN113920195A (en) * | 2021-10-08 | 2022-01-11 | Oppo广东移动通信有限公司 | Distance detection method, control method, device, storage medium and electronic equipment |
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