CN116421135A - Vision testing method, device, electronic equipment and storage medium - Google Patents

Abstract

The disclosure proposes a vision testing method, device, electronic equipment and storage medium. Executed by an electronic device, the method includes: collecting an eye image based on shooting parameter information, and determining a target test distance between the electronic device and the eye according to the shooting parameter information and the eye image, and then according to the The eye image and the target test distance are used to perform a vision test, 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 can determine the target test distance based on the eye image. The distance between the image and the target test can effectively improve the accuracy of the vision test.

Description

Vision test method, device, electronic equipment and storage medium

technical field

The present disclosure relates to the technical field of medical and health services, and in particular to a vision testing method, device, electronic equipment and storage medium.

Background technique

With the development of electronic technology, vision testing based on electronic equipment has become an important way for users to regularly test vision. The recognition of the test marks on the eye chart determines the user's vision.

In the related art, the test distance required for the vision test cannot be accurately determined, which may affect the result of the vision test.

Contents of the invention

The present disclosure aims to solve technical problems in the related art at least to a certain extent.

Therefore, the purpose of the present disclosure is to provide a vision testing method, device, electronic equipment, storage medium and computer program product.

The vision test method proposed by the embodiment of the first aspect of the present disclosure is executed by an electronic device, and the method includes: collecting an eye image based on shooting parameter information; and determining a target between the electronic device and the eye according to the shooting parameter information and the eye image Test distance; based on the eye image and the target test distance, a vision test is performed.

The vision testing device proposed in the embodiment of the second aspect of the present disclosure is executed by an electronic device, and the device includes: an acquisition module, configured to acquire eye images based on shooting parameter information; a determination module, configured to, based on shooting parameter information and eye images, Determine the target test distance between the electronic device and the eye; the processing module is used to perform vision test according to the eye image and the target test distance.

The embodiment of the third aspect of the present disclosure proposes an electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, the embodiment of the first aspect of the present disclosure is implemented. Proposed vision testing method.

The embodiment of the fourth aspect of the present disclosure provides a non-transitory computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the vision testing method as proposed in the embodiment of the first aspect of the present disclosure is implemented.

The embodiment of the fifth aspect of the present disclosure provides a computer program product. When the instruction processor in the computer program product is executed, the vision testing method as proposed in the embodiment of the first aspect of the present disclosure is executed.

The eyesight testing method provided by the embodiments of the present disclosure may include the following beneficial effects: based on the shooting parameter information, the eye image is collected, and according to the shooting parameter information and the eye image, the target test distance between the electronic device and the eye is determined, and then According to the eye image and the target test distance, the vision test is performed, 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 can be based on the eye image and target test The distance can effectively improve the accuracy of the vision test.

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.

Description of drawings

The above and/or additional aspects and advantages of the present disclosure will become apparent and understandable from the following description of the embodiments in conjunction with the accompanying drawings, wherein:

FIG. 1 is a schematic flow chart of a vision testing method proposed by an embodiment of the present disclosure;

2 is a schematic flow chart of a vision testing method proposed by another embodiment of the present disclosure;

3 is a schematic flow chart of a vision testing method proposed by another embodiment of the present disclosure;

Fig. 4 is a schematic diagram of key points in a pupil partial image proposed by an embodiment of the present disclosure;

5 is a schematic flow chart of a vision testing method proposed by another embodiment of the present disclosure;

6 is a schematic structural diagram of a vision testing device proposed by an embodiment of the present disclosure;

FIG. 7 shows a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.

Detailed ways

Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present disclosure and should not be construed as limiting the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications and equivalents coming within the spirit and scope of the appended claims.

It should be noted that the acquisition, collection, storage, use, and processing of data in the technical solutions disclosed herein are all in compliance with relevant laws and regulations, and do not violate public order and good customs.

FIG. 1 is a schematic flowchart of a vision testing method proposed by an embodiment of the present disclosure.

Wherein, it should be noted that the execution body of the vision testing method of this embodiment is a vision testing device, which can be realized by software and/or hardware, and which can be configured in an electronic device, which can include but not Limited to terminals, servers, etc.

As shown in FIG. 1 , the eyesight testing method is executed by electronic equipment, and the electronic equipment needs to be equipped with a camera. The electronic equipment can be, for example, a mobile phone, a tablet computer, a notebook computer, etc., without limitation.

S101: Collect an eye image based on shooting parameter information.

Wherein, the shooting parameter information refers to camera parameters of the camera device of the electronic device, and the camera parameters may be, for example, camera internal parameters, camera external parameters, focal length, etc., which are not limited.

Wherein, the eye image refers to the partial image collected by the camera device of the electronic device and used to describe the eye of the vision test user. The eye image can be, for example, a left eye image or a right eye image, without limitation. .

That is to say, in the embodiment of the present disclosure, it may be that the camera of the electronic device (the camera has corresponding shooting parameter information) shoots a corresponding image for the eye area of the vision test user as the eye image, or it may also be The face image of the object to be detected is collected by the camera device of the electronic device, and then the eye image can be obtained by cutting out the collected face image, which is not limited.

S102: Determine a target test distance between the electronic device and the eye according to the shooting parameter information and the eye image.

It can be understood that, when performing a vision test on a user, the user and the vision chart need to maintain a preset test distance, and then the user's vision is determined by identifying the test marks on the vision chart.

In the embodiment of the present disclosure, the test marks displayed in the eye chart may be displayed on the electronic device, and then the horizontal linear distance between the electronic device and the eye is determined to be the target test distance, and then the electronic device may The identification of the test marks displayed by the electronic device determines the user's vision. Compared with the traditional eye chart test method, the vision test method proposed by the embodiment of the present disclosure does not require manual participation, so that the user can perform the vision test by himself based on the electronic device, thereby improving the visual acuity. The convenience of vision testing.

In some embodiments, the target test distance between the electronic device and the eye is determined according to the shooting parameter information and the eye image, and the electronic device may calculate the shooting parameter information and the eye image to determine the distance between the electronic device and the eye. The target test distance between, for example, can be trained by the electronic equipment corresponding deep learning model for determining the target test distance, and then, can provide the shooting parameter information and the eye image to the deep learning model, and the deep learning model can The shooting parameter information and the eye image are processed, and the target test distance is determined, which is not limited.

S103: Perform a vision test according to the eye image and the target test distance.

In the embodiment of the present disclosure, after acquiring the eye image of the vision test user and determining the target test distance between the eyes of the vision test user and the electronic device, the vision test may be performed according to the eye image and the target test distance.

For example, in the case of maintaining a target test distance between the user's eyes and the electronic device for vision testing, the electronic device displays a test mark corresponding to the visual acuity value, and then receives the identification information of the test mark from the user, and performs a test on the test mark. The identification information and the test mark are compared. When the comparison result shows that the identification information is the same as the currently displayed test mark, the user's vision is determined according to the vision value corresponding to the test mark, or, when the comparison result shows that the identification information and the currently displayed test mark are the same, the user's vision is determined. When the currently displayed test marks are different, switch to display other test marks with different visual acuity values, and there is no limitation on this.

In this embodiment, the eye image is collected based on the shooting parameter information, and 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 target test distance is determined according to the eye image and the target test distance. Vision test, 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 can effectively improve the accuracy of the vision test based on the eye image and the target test distance .

Fig. 2 is a schematic flowchart of a vision testing method proposed by another embodiment of the present disclosure.

As shown in Figure 2, the visual acuity test method includes:

S201: Acquire at least one frame of face image based on shooting parameter information.

Wherein, the face image refers to the image collected by the camera device of the electronic device and includes the face of the vision test user.

That is to say, it may be that the camera of the electronic device (the camera has corresponding shooting parameter information) shoots a corresponding image for the face area of the vision test user as a face image.

In the embodiment of the present disclosure, at least one frame of human face image is obtained, which may also be a camera of an electronic device (the camera has corresponding shooting parameter information), and a corresponding video stream is collected for the vision test user, and then the video stream may be processed. Analyze and process to obtain multiple video frames, and input multiple video frames into the face key point detection model in turn, and the face key point detection model detects whether the video frame contains a human face, and the key points of the face When the detection model detects that the video frame contains a human face, the video frame is used as a human face image without limitation.

S202: Adjust the face image according to preset pixel size information to obtain an image to be detected.

Wherein, the preset pixel size information may be a predetermined pixel size (for example, 480 wide by 640 high, which is not limited).

In the embodiments of the present disclosure, the pixel sizes of the face images collected by different electronic devices may be different, so the adjustment of the face images according to the preset pixel size information may be the pixel size of the previously collected face images The size is adjusted to the preset pixel size described by the preset pixel size information, and the aforementioned adjusted face image is used as the image to be detected.

For example, the pixel size of the face image collected by the electronic device is 400 wide by 600 high, thus, the pixel interpolation can be performed on the face image, so as to adjust the pixel size of the face image to be described by the preset pixel size information The preset pixel size (480 wide and 640 high) to obtain the image to be detected is not limited.

S203: Extract an eye image from the image to be detected to obtain at least one frame of eye image.

In the embodiment of the present disclosure, after adjusting the face image 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, and then the pixel coordinates of the key points of the left and right eyes can be calculated by difference The eye distance between the two eyes, and half of the eye distance is taken as the width of the cropped eye image, and then the left eye image and the right eye image can be cropped with this width as the eye image.

In the embodiment of the present disclosure, at least one frame of face image is acquired based on the shooting parameter information, and the face image is adjusted according to the preset pixel size information to obtain the image to be detected, and then extracted from the image to be detected The eye image obtains at least one frame of the eye image, so that the pixel size collected by different electronic devices can be uniformly adjusted based on preset pixel size information, so that the pixel size of images collected by different electronic devices can be solved. The impact of unification on vision testing.

S204: Determine a target test distance between the electronic device and the eye according to the shooting parameter information and the eye image.

For the description of S204, reference may be made to the foregoing embodiments for details, and details are not repeated here.

S205: Determine the distance difference between the target test distance and the preset distance.

Among them, the preset distance refers to the pre-set optimal test distance for vision test users, refer to the test distance standard for vision test specified by the national standard GB11533-2011, the test distance is generally selected as 40cm, for this No restrictions.

In the embodiment of the present disclosure, after the target test distance between the electronic device and the eye is determined, the distance difference between the target test distance and the preset distance can be determined, and then subsequent vision tests can be triggered based on the distance difference For details about the method, refer to the subsequent embodiments, and details are not repeated here.

S206: If the distance difference is less than or equal to the difference threshold, determine that the target test distance satisfies the distance condition.

In the embodiments of the present disclosure, when determining the distance difference between the target test distance and the preset distance, it may be determined whether the target test distance satisfies the distance condition according to the distance difference.

In the embodiment of the present disclosure, when the distance difference is less than or equal to the difference threshold, it is determined that the target test distance satisfies the distance condition.

S207: In response to the condition that the target test distance satisfies the distance condition, perform vision test according to the eye image.

In the embodiment of the present disclosure, when it is determined that the target test distance satisfies the distance condition, the vision test may be performed according to the eye image.

Optionally, in some embodiments, performing a vision test based on an eye image may be to determine the eye state information of the eye according to the eye image, wherein the eye state information is information indicating the opening and closing state of the eye, According to the eye state information, the vision test is carried out, so that the corresponding vision test process can be triggered according to the eye opening and closing state of the vision test user, and the invalid test operation can be avoided when the vision test cannot be performed due to the eye state, so that it can be based on the eye state The information regulates the vision testing process.

In the embodiment of the present disclosure, the eye state information of the eye is determined according to the eye image, and pupil recognition can be performed on the eye image. When the pupil can be identified from the eye image, it is determined that the eye is in an open state. When the pupil is not recognized from the eye image, it is determined that the eye is in a closed state, which is not limited.

For example, performing a vision test based on the eye state information may be to perform a vision test on the right eye of the vision test user when the left eye is closed and the right eye is open. And when the right eye is closed, the vision test is performed on the left eye of the vision test user.

Or, according to the eye state information, the vision test is performed, and when the left eye is in an open state and the right eye is in an open state, an eye-closed prompt message is generated, wherein the eye-closed prompt message is used to prompt the vision test user to close the eyes. For the left eye or the right eye, when the left eye is closed and the right eye is closed, an eye-opening prompt message is generated, wherein the eye-opening prompt message is used to prompt the vision test user to open the left eye or the right eye.

S208: If the distance difference is greater than the difference threshold, determine that the target test distance does not satisfy the distance condition.

In the embodiment of the present disclosure, when it is determined that the target test distance does not meet the distance condition, the vision test is not performed. In addition, the electronic device can also generate a corresponding prompt message to prompt the user to adjust the test distance between the electronic device and the user. After testing the distance between the electronic devices, the above-mentioned steps of S201-S205 are triggered until it is determined that the target testing distance satisfies the distance condition.

In the embodiment of the present disclosure, at least one frame of face image is acquired based on the shooting parameter information, and the face image is adjusted according to the preset pixel size information to obtain the image to be detected, and then extracted from the image to be detected The eye image obtains at least one frame of the eye image, so that the pixel size collected by different electronic devices can be uniformly adjusted based on preset pixel size information, so that the pixel size of images collected by different electronic devices can be solved. Unify the impact on the vision test, and then determine the target test distance between the electronic device and the eye according to the shooting parameter information and the eye image, and then determine the distance difference between the target test distance and the preset distance, so as to be able to When the distance difference is less than or equal to the difference threshold, accurately determine that the target test distance satisfies the distance condition, and when the target test distance satisfies the distance condition, perform a vision test based on the eye image, effectively improving the accuracy of the vision test. When the distance difference is greater than the difference threshold, it is determined that the target test distance does not meet the distance condition, and when the target test distance does not meet the distance condition, the vision test is not performed, thereby avoiding the invalid test operation caused by the target test distance not satisfying the distance condition, and It is possible to avoid misleading the user by the visual acuity test result when the target test distance does not satisfy the distance condition.

FIG. 3 is a schematic flowchart of a vision testing method proposed by another embodiment of the present disclosure.

As shown in Figure 3, the vision testing method includes:

S301: Collect an eye image based on shooting parameter information.

The description of S301 may specifically refer to the foregoing embodiments, and details are not repeated here.

S302: Determine the position information of the pupil partial image relative to the eye image.

Wherein, the partial image used to describe the pupil of the vision test user in the eye image is the partial image of the pupil.

Wherein, the position information is used to describe the position of the partial pupil image relative to the eye image, and the position information may be, for example, the pixel coordinates of a key point in the pupil partial image in the eye image, which is not limited.

In the embodiment of the present disclosure, determining the position information of the pupil partial image relative to the eye image may be to input the pupil partial image into a pre-trained pupil prediction model, process and output the pupil partial image through the pupil prediction model. The pixel coordinates in the eye image are used as the position information of the pupil partial image relative to the eye image.

S303: Determine the iris size of the eye.

Wherein, the iris size may be, for example, iris diameter, which is not limited.

In the embodiment of the present disclosure, determining the iris size of the eye may be to determine the average iris diameter of the vision test user group as the iris size (the average iris diameter of the user group is about 11.4mm), which is not limited.

S304: Determine a candidate test distance between the electronic device and the eye according to the position information, iris size, and shooting parameter information.

In the embodiment of the present disclosure, after determining the position information of the pupil partial image relative to the eye image and determining the iris size of the eye, the candidate test distance between the electronic device and the eye can be determined according to the position information, iris size, and shooting parameter information .

In some embodiments, the candidate test distance between the electronic device and the eye is determined according to the location information, iris size, and shooting parameter information. The electronic device may calculate the location information, iris size, and shooting parameter information to determine the electronic device. The candidate test distance between the device and the eye, for example, can be trained by the electronic device to determine the corresponding deep learning model of the target test distance, and then the position information, iris size and shooting parameter information can be provided to the deep learning model Model, the position information, iris size and shooting parameter information are processed by the deep learning model, and the target test distance is determined, which is not limited.

In the embodiment of the present disclosure, the position information includes: the initial key point coordinates of at least one key point in the partial image of the pupil, and the shooting parameter information includes: the focal length of the shooting device.

Among them, the key point of the partial image of the pupil can be, for example, the central point of the pupil, and a plurality of key points located at the edge of the partial image of the pupil with the central point of the pupil as a symmetrical center, as shown in FIG. 4 , which is a proposed embodiment of the present disclosure. Schematic representation of keypoints in the pupil partial image of .

Wherein, the pixel coordinates of the key points in the pupil partial image in the pupil partial image may be referred to as initial key point coordinates.

Optionally, in some embodiments, determining the candidate test distance between the electronic device and the eye according to the position information, iris diameter and shooting parameter information may be to determine the target key point coordinates of the key point in the image to be detected, and according to At least two target key point coordinates, determine the pupil size of the pupil partial image, then 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, so that the electronic device can be based on position information, Iris diameter and shooting parameter information to accurately determine the candidate test distance between the electronic device and the eye.

Wherein, the pupil size refers to the pupil diameter of the pupil described in the pupil partial image, which is not limited.

In the embodiment of the present disclosure, the key points in the partial image of the pupil may be mapped to the image to be detected, and the pixel coordinates of the key points in the partial image of the pupil in the image to be detected may be determined as the coordinates of the target key point.

In the embodiment of the present disclosure, referring to the above-mentioned FIG. 4 , according to at least two target key point coordinates, the pupil size of the pupil partial image can be determined, for example, by selecting the target key point coordinates of the two key points of point 1 and point 3, and then, can The distance between the target keypoint coordinates of the two keypoints of point 1 and point 3 is determined as the pupil size.

In the embodiment of the present disclosure, after determining the pupil size, focal length, and iris size, the pupil size of the pupil partial image can be determined, and then the product between the iris size and the focal length can be determined, and the ratio between the product and the pupil size can be used 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 camera device of the electronic device.

S305: Determine a target test distance according to at least one candidate test distance.

In the embodiment of the present disclosure, after determining multiple candidate test distances between the electronic device and the eye, a target test distance may be determined according to at least one candidate test distance.

In some embodiments, determining the target test distance according to at least one candidate test distance may be determining any candidate test distance among a plurality of candidate test distances as the target test distance, or may also be within a certain candidate test distance When it is the same as the preset test distance, the candidate test distance that is the same as the preset test distance is determined as the target test distance, which is not limited.

Optionally, in some embodiments, according to at least one candidate test distance, determining the target test distance may be when there are multiple candidate test distances, dividing at least part of the candidate test distances into test distance groups to obtain multiple test distance groups , and determine the distance standard deviation and average distance between at least some candidate test distances in each test distance group, and then when the distance difference between all candidate test distances and the average distance in the test distance group is less than the target product value , using any 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 standard deviation of the distance, thus, multiple candidate test distances can be grouped and screened, In this way, the stability of the follow-up processing process is guaranteed, and the follow-up target test distance is frequently not up to standard, which will affect the progress of the overall vision test.

Wherein, the test distance group may include n candidate test distances.

That is to say, in the embodiment of the present disclosure, after the multiple candidate test distances are determined, the multiple candidate test distances may be divided into test distances, and each test distance L includes n candidate test distances.

In the embodiment of the present disclosure, the average distance M between at least some of the candidate test distances in each test distance group can be determined, and the distance variance S2 between at least some of the candidate test distances in each test distance group can be determined jointly with the average distance, as follows The formula shows:

Among them, S2 represents the distance standard deviation, n represents the number of candidate test distances in a test distance group, M is the average distance between at least some candidate test distances in each test distance group, and xn represents candidate test distances.

Then, the distance standard deviation σ between at least some of the candidate test distances in each test distance group can be determined:

When the distance difference between all candidate test distances and the average distance in the test distance group is less than the target product value, any candidate test distance in the test distance group is used as the target test distance, wherein the target product value is a preset multiple and the product value (for example, 0.5*σ, which is not limited) between the distance standard deviation, that is, when xn-M<0.5*σ, any candidate test distance in the test distance group is determined as The target test distance, and then, the vision test may be performed based on the target distance. For details, please refer to the subsequent embodiments, which will not be repeated here.

S306: Perform a vision test according to the eye image and the target test distance.

For the description of S306, reference may be made to the foregoing embodiments for details, and details are not repeated here.

In the embodiment of the present disclosure, based on the shooting parameter information, the eye image is collected, and then the position information of the pupil partial image relative to the eye image is determined, and then the iris size of the eye is determined, and then determined according to the position information, iris size and shooting parameter information. The candidate test distance between the electronic device and the eye, so that the electronic device can accurately determine the candidate test distance between the electronic device and the eye based on the position information, iris diameter and shooting parameter information, and then according to at least one candidate test distance, Determine the target test distance, and perform a vision test based on 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 based on Eye image and target test distance can effectively improve the accuracy of vision test.

FIG. 5 is a schematic flowchart of a vision testing method proposed by an embodiment of the present disclosure.

As shown in Figure 5, the vision testing method includes:

S501: Acquire at least one frame of face image based on shooting parameter information.

S502: Adjust the face image according to preset pixel size information to obtain an image to be detected.

S503: Extract an eye image from the image to be detected to obtain at least one frame of eye image.

S504: Determine a target test distance between the electronic device and the eye according to the shooting parameter information and the eye image.

S505: Determine the distance difference between the target test distance and the preset distance.

S506: If the distance difference is less than or equal to the difference threshold, determine that the target test distance satisfies the distance condition.

For the description of S501-S506, reference may be made to the foregoing embodiments for details, and details are not repeated here.

S507: In response to the fact that the target test distance satisfies the distance condition, display a test mark within a preset time period, wherein the test mark has corresponding test information.

Wherein, the test mark is a character, a pattern, etc. used for recognition by the vision test user during the vision test, for example, "E", an animal pattern for children to recognize, and there is no limitation on this.

Wherein, the test information may be the visual acuity value corresponding to the test mark, which is not limited.

In the embodiment of the present disclosure, when it is determined that the target test distance satisfies the distance condition, the display interface of the electronic device may display a test mark with corresponding test information for a preset duration.

S508: Obtain test matching information, wherein the test matching information is used to describe a matching situation between the user's identification result of the test mark and the test mark within a preset time period.

Wherein, the test matching information is used to describe the matching between the user's identification result of the test mark and the test mark within a preset time period.

That is to say, in the embodiment of the present disclosure, after the electronic device displays the completion of the test mark within a preset period of time, it can receive the recognition result of the test mark by the vision test user, compare the recognition result with the test mark, and When the recognition result is identical to the test mark, it is determined that the recognition result matches the test mark, and when the recognition result is different from the test mark, it is determined that the recognition result does not match the test mark.

S509: Perform a vision test 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. When the test matching information indicates that the recognition result does not match the test marks, the first test mark is displayed, and the number of test matching information Counting is performed to obtain the first number, wherein the mark size between the test mark and the first test mark is the same, and when the first number reaches the first number threshold, the second test mark is displayed until the second test mark is based on the second test mark The obtained identification result is matched with the second test mark, and the test information of the second test mark is used as the vision test result, wherein the mark size of the second test mark is larger than the test mark.

In the embodiment of the present disclosure, there are multiple test marks, and at least some of the test marks have the same size.

Wherein, the first test mark is a test mark with the same size as the previously displayed test mark, and the second test mark is a test mark with a larger size than the previously displayed test mark.

That is to say, in the embodiment of the present disclosure, when the test matching information indicates that the recognition result does not match the test mark, the first test mark with the same size as the previously displayed test mark may be displayed, and the number of test matching information may be calculated. Counting to obtain the first number, and when the first number reaches the first number threshold, the size of the display mark is larger than the second test mark of the previously displayed test mark, until the recognition result obtained based on the second test mark and the second test mark The test marks are matched, and the test information of the second test mark is used as the vision test result.

S510: If the distance difference is greater than the difference threshold, determine that the target test distance does not satisfy the distance condition.

For the description of S510-S510, reference may be made to the foregoing embodiments for details, and details are not repeated here.

In the embodiment of the present disclosure, at least one frame of face image is obtained based on the shooting parameter information, and the face image is adjusted according to the preset pixel size information to obtain the image to be detected, and then the eye image is extracted from the image to be detected, Obtain at least one frame of the eye image, and then determine the target test distance between the electronic device and the eye according to the shooting parameter information and the eye image, and determine the distance difference between the target test distance and the preset distance, and then determine the target The distance difference between the test distance and the preset distance, so that when the distance difference is less than or equal to the difference threshold, it can be accurately determined that the target test distance satisfies the distance condition, and when the target test distance satisfies the distance condition, the preset Display test marks within a preset time period, wherein the test marks have corresponding test information, and obtain test matching information, wherein the test matching information is used to describe the matching between the user's identification result of the test mark and the test mark within a preset time period, According to the test matching information and test information, the vision test is carried out, thereby improving the convenience of the vision test operation, so that the user can combine the test marks displayed by the electronic device to conduct the vision test by themselves, effectively improving the accuracy of the vision test. When it is greater than the difference threshold, it is determined that the target test distance does not meet the distance condition, and when the target test distance does not meet the distance condition, the vision test is not performed, thereby avoiding invalid test operations caused by the target test distance not satisfying the distance condition, and can avoid The vision test result when the target test distance does not satisfy the distance condition is misleading to the user.

Fig. 6 is a schematic structural diagram of a vision testing device proposed by an embodiment of the present disclosure.

As shown in Figure 6, the vision testing device 60 includes:

An acquisition module 601, configured to acquire eye images based on shooting parameter information;

A determination module 602, configured to determine the 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 a vision test 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:

In response to the fact that the target test distance satisfies the distance condition, the vision test is performed according to the eye image.

In some embodiments of the present disclosure, the number of frames of the eye image is at least one frame; wherein, the collection module 601 is also used for:

Acquiring at least one frame of face image based on shooting parameter information;

Adjust the face image according to the preset pixel size information to obtain the image to be detected;

The eye image is extracted from the image to be detected to obtain at least one frame of the eye image.

In some embodiments of the present disclosure, the eye image includes: a partial image of the pupil and a partial image of the iris; wherein, the determination module 602 is also used for:

Determine the position information of the pupil partial image relative to the eye image;

Determine the iris size of the eye;

Determine the candidate test distance between the electronic device and the eye according to the position information, iris size and shooting parameter information;

A target test distance is determined based on 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 partial pupil image, and the shooting parameter information includes: the focal length of the shooting device;

Wherein, the determining module 602 is also used for:

Determine the target key point coordinates of the key point in the image to be detected;

Determine the pupil size of the pupil partial image according to the coordinates of at least two target key points;

Determine the product between iris size and focal length, and use the ratio between the product and pupil size as a candidate test distance.

In some embodiments of the present disclosure, the determining module 602 is further configured to:

If there are multiple candidate test distances, at least part of the candidate test distances are divided 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;

If the distance difference between all candidate test distances and the average distance in the test distance group is less than the target product value, any candidate test distance in the test distance group is used as the target test distance, wherein the target product value is a preset multiple and the distance standard deviation.

In some embodiments of the present disclosure, the processing module 603 is further configured to:

Determine the eye state information of the eye according to the eye image, wherein the eye state information is information indicating the opening and closing state of the eye;

Based on the eye status information, a vision test is performed.

In some embodiments of the present disclosure, the processing module 603 is further configured to:

Displaying test marks within a preset duration, wherein the test marks have corresponding test information;

Obtaining test matching information, wherein the test matching information is used to describe the user's recognition result of the test mark and the matching situation of the test mark within a preset time period;

Based on the test matching information and the test information, a vision test is performed.

In some embodiments of the present disclosure, the number of test marks is multiple, and at least some of the test marks have the same size; wherein, the processing module 603 is also used to:

If the test matching information indicates that the recognition result does not match the test mark, then display the first test mark, and count the number of test match information to obtain the first number, wherein the mark size between the test mark and the first test mark same;

If the first number reaches the first number threshold, the second test mark is displayed until the identification result obtained based on the second test mark matches the second test mark, and the test information of the second test mark is used as the vision test result, wherein , the mark size of the second test mark is larger than the test mark.

In some embodiments of the present disclosure, the processing module 603 is further configured to:

Determine the distance difference between the target test distance and the preset distance;

If the distance difference is less than or equal to the difference threshold, it is determined that the target test distance satisfies the distance condition;

If the distance difference is greater than the difference threshold, it is determined that the target test distance does not satisfy the distance condition.

Corresponding to the vision testing method provided by the embodiments of FIGS. 1 to 5 above, the present disclosure also provides a vision testing device. The method is corresponding, so the implementation of the vision testing method is also applicable to the vision testing device provided in 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, and 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 target test distance is determined according to the eye image and the target test distance. Vision test, 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 can effectively improve the accuracy of the vision test based on the eye image and the target test distance .

In order to realize the above embodiments, the present disclosure also proposes an electronic device, including: a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, the foregoing embodiments of the present disclosure are implemented. Proposed vision testing method.

In order to realize the above-mentioned embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the vision testing method as proposed in the foregoing embodiments of the present disclosure is implemented.

In order to realize the above-mentioned embodiments, the present disclosure also proposes a computer program product. When the instruction processor in the computer program product executes, the eyesight testing method provided in the foregoing embodiments of the present disclosure is executed.

FIG. 7 shows 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 only an example, and should not limit the functions and application scope of the embodiments of the present disclosure.

As shown in Figure 7, the electronic device takes the form of a general-purpose computing device. Components of the electronic device may include, but are not limited to: one or more processors or processing units 16, system memory 28, bus 18 connecting various system components including system memory 28 and processing unit 16.

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (Industry Standard Architecture; hereinafter referred to as: ISA) bus, Micro Channel Architecture (Micro Channel Architecture; hereinafter referred to as: MAC) bus, enhanced ISA bus, video electronics standard Association (Video Electronics Standards Association; hereinafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component Interconnection; hereinafter referred to as: PCI) bus.

Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device and include both volatile and nonvolatile media, removable and non-removable media.

The memory 28 may include a computer system readable medium in the form of a volatile memory, such as a random access memory (Random Access Memory; hereinafter referred to as: RAM) 30 and/or a cache memory 32 . The electronic device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (not shown in FIG. 7, commonly referred to as a "hard drive").

Although not shown in FIG. 7, a disk drive for reading and writing to a removable nonvolatile disk (such as a "floppy disk") may be provided, as well as a disk drive for removable nonvolatile disks (such as a CD-ROM (Compact Disc Read Only Memory (hereinafter referred to as: CD-ROM), Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM) or other optical media) read and write optical disc drives. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present disclosure.

Program/utility 40 may be stored, for example, in memory 28 as a set (at least one) of 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 these examples may include implementations of network environments. The program modules 42 generally perform the functions and/or methods of the embodiments described in this disclosure.

The electronic device may also communicate with one or more external devices 14 (e.g., a keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to An electronic device is any device (eg, network card, modem, etc.) capable of communicating with one or more other computing devices. Such communication may occur through input/output (I/O) interface 22 . Moreover, the electronic device can also communicate with one or more networks (such as a local area network (Local Area Network; hereinafter referred to as: LAN), a wide area network (WideArea Network; hereinafter referred to as: WAN) and/or a public network such as the Internet) through the network adapter 20. . As shown, network adapter 20 communicates with other modules of the electronic device via bus 18 . It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and Data backup storage system, etc.

The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28 , such as implementing the vision testing method mentioned in the foregoing embodiments.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The present disclosure is intended to cover any modification, use or adaptation of the present disclosure. These modifications, uses or adaptations follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure. . The specification and examples are to be considered exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It should be understood that the present disclosure is not limited to the precise constructions which have been described above and shown in the drawings, and various modifications and changes may be made 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, terms such as "first" and "second" are used for description purposes only, and should not be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, "plurality" means two or more.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments or portions of code comprising one or more executable instructions for implementing specific logical functions or steps of the process , and the scope of preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including substantially concurrently or in reverse order depending on the functions involved, which shall It is understood by those skilled in the art to which the embodiments of the present disclosure pertain.

It should be understood that various parts of the present disclosure may be implemented in hardware, software, firmware or a combination thereof. In the embodiments described above, various steps or methods may be implemented by software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques known in the art: Discrete logic circuits, ASICs with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. During execution, one or a combination of the steps of the method embodiments is included.

In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing module, each unit may exist separately physically, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. If the integrated modules are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a computer-readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, and the like.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic 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 embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limitations on the present disclosure, and those skilled in the art can understand the above-mentioned embodiments within the scope of the present disclosure. The embodiments are subject to changes, modifications, substitutions and variations.

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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