Optical device calibration coding method and device

Abstract

The invention discloses an optical device calibration coding method and device. The method comprises the following steps: acquiring image information of an optical device; the optical device image information comprises a plurality of pieces of acquisition image information; performing position detection processing on the image information of the optical device to obtain target position information; the target position information comprises a plurality of pieces of target position coordinate information; and performing estimation coding processing on the target position information to obtain target coding information.

Description

Technical Field

[0001] The present invention relates to the field of image processing technology, and in particular to an optical device calibration encoding method and device. Background Art

[0002] In recent years, contact lenses have become a very promising optical device platform that can be used to develop various applications and are expected to play an important role in applications such as eye tracking and augmented reality. Each person's eye movement pattern is unique. By storing individualized data in contact lenses, the system can achieve more accurate eye tracking on each user. Make the system more portable and concealed. This helps to perform eye tracking in various practical scenarios. However, due to the limitations of small data volume and linear models, the accuracy of traditional line of sight estimation is relatively poor and the anti-interference ability is weak. Therefore, an optical device calibration encoding method and device are provided to achieve efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and use efficiency of optical devices. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide an optical device calibration coding method and device that are conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0004] In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses an optical device calibration encoding method, the method comprising:

[0005] Acquire optical device image information; the optical device image information includes a plurality of collected image information;

[0006] Performing position detection processing on the optical device image information to obtain target position information; the target position information includes a plurality of target position coordinate information;

[0007] The target position information is estimated and coded to obtain target coded information.

[0008] A second aspect of an embodiment of the present invention discloses an optical device calibration encoding device, the device comprising:

[0009] An acquisition module, used for acquiring optical device image information; the optical device image information includes a plurality of collected image information;

[0010] A first processing module is used to perform position detection processing on the optical device image information to obtain target position information; the target position information includes a plurality of target position coordinate information;

[0011] The second processing module is used to perform estimation coding processing on the target position information to obtain target coding information.

[0012] The third aspect of the present invention discloses another optical device calibration encoding device, the device comprising:

[0013] A memory storing executable program code;

[0014] a processor coupled to the memory;

[0015] The processor calls the executable program code stored in the memory to execute part or all of the steps in the optical device calibration encoding method disclosed in the first aspect of the embodiment of the present invention.

[0016] The fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the optical device calibration encoding method disclosed in the first aspect of the embodiment of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 It is a flow chart of an optical device calibration encoding method disclosed in an embodiment of the present invention;

[0019] Figure 2 It is a structural schematic diagram of an optical device calibration encoding device disclosed in an embodiment of the present invention;

[0020] Figure 3 It is a schematic structural diagram of another optical device calibration encoding device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0023] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0024] The present invention discloses an optical device calibration coding method and device, which are conducive to realizing efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and use efficiency of the optical device. Detailed descriptions are given below.

[0025] Embodiment 1

[0026] See also Figure 1 , Figure 1 : is a flow chart of an optical device calibration encoding method disclosed in an embodiment of the present invention. Figure 1 The optical device calibration coding method described is applied to a management system, such as a local server or a cloud server for management, and the embodiments of the present invention do not limit this. Figure 1 As shown, the optical device calibration encoding method may include the following operations:

[0027] 101. Obtain image information of an optical device.

[0028] In the embodiment of the present invention, the optical device image information includes a plurality of collected image information.

[0029] 102. Perform position detection processing on the optical device image information to obtain target position information.

[0030] In the embodiment of the present invention, the target position information includes a plurality of target position coordinate information.

[0031] 103. Perform estimation coding processing on the target position information to obtain target coding information.

[0032] It should be noted that the image acquisition module is used to collect the collected image information. At this stage, the user uses the head-mounted AR device to perform five-point calibration. These five points are distributed in different areas of the screen to cover the user's entire field of view as much as possible. The user is guided to look at each calibration point in turn. When the user looks at each calibration point, the system collects the corresponding eye movement data, that is, the multi-frame eye diagram of the user looking at each calibration point in the corresponding time period, and obtains the corresponding collected image information.

[0033] It should be noted that the above-mentioned target coding information is stored in the form of a coded pattern, which can make the information hidden in the design of the contact lens and not easily detected. This helps to protect personal privacy because it is difficult for others to detect or understand the coding on the glasses. Pattern coding can store a large amount of information in a limited space. By designing an efficient coding scheme, rich information can be embedded in a tiny area without much impact on comfort and appearance. During the use stage, the current user can directly estimate the line of sight when wearing the head-mounted device again, eliminating the complex calibration process, which is very important for real-time applications or systems that require frequent updates, thereby achieving efficient and accurate line of sight estimation in a variety of complex situations of optical devices.

[0034] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0035] In an optional embodiment, the above-mentioned performing position detection processing on the optical device image information to obtain the target position information includes:

[0036] Pre-processing the optical device image information to obtain target processed image information; the target processed image information includes several specification processed image information;

[0037] Perform feature extraction and detection processing on the target processing image information to obtain the target position information.

[0038] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0039] In another optional embodiment, pre-processing the optical device image information to obtain target processed image information includes:

[0040] Binarization processing is performed on the image information of the optical device to obtain binary processed image information;

[0041] The binary processed image information is subjected to image specification adjustment processing to obtain target processed image information.

[0042] It should be noted that the above-mentioned binarization processing of the optical device image information is to adjust the collected image information in the optical device image information from a color image to a black and white image, wherein the binary threshold used for the binarization processing is set by the user, and its value can be between [100-150], which is not limited in the embodiment of the present invention.

[0043] It should be noted that the above-mentioned image specification adjustment processing for the binary processed image information is to adjust all the binary processed images to the same size specification of the specification processed images, and the size specification may be 256*256, which is not limited in the embodiment of the present invention.

[0044] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0045] In yet another optional embodiment, feature extraction and detection processing are performed on the target processed image information to obtain target position information, including:

[0046] For any standard processed image information in the target processed image information, feature extraction is performed on the standard processed image information to obtain first image feature information corresponding to the standard processed image information;

[0047] The first image feature information is screened and processed to obtain second image feature information corresponding to the processed image information of the specification; the second image feature information includes a plurality of processed image feature information;

[0048] Based on the second image feature information, target position coordinate information corresponding to the standard processed image information is determined.

[0049] It should be noted that after processing the standard processed image information by means of feature extraction, screening processing and ellipse fitting, the pupil position in the image can be accurately located, thereby improving the accuracy and stability of pupil detection.

[0050] It should be noted that the feature extraction of the standard processed image information is to detect and extract edge features of the standard processed image information, which can be implemented by the Canny edge detection algorithm, so as to extract edge information from the image.

[0051] It should be noted that the above-mentioned screening and processing of the first image feature information is to filter the image edge features in the first image feature information, and eliminate the obviously abnormal image edge features, such as applying relevant morphological processing methods to process the extracted edges, so as to select reasonable image edge features, so as to improve the accuracy and fitting efficiency of the ellipse fitting in the subsequent steps.

[0052] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0053] In yet another optional embodiment, determining the target position coordinate information corresponding to the specification-processed image information based on the second image feature information includes:

[0054] For any processed image feature information in the second image feature information, determine whether the processed image feature information is consistent with the prior feature information, and obtain a feature determination result;

[0055] When the feature judgment result is yes, determining that the processed image feature information is a target image feature information;

[0056] When the feature judgment result is no, the judgment process corresponding to the feature judgment result is terminated;

[0057] Perform ellipse fitting processing on all target image feature information to obtain ellipse contour feature information;

[0058] Screening and processing the ellipse contour feature information to obtain target contour feature information;

[0059] The center position of the target contour feature information is determined as the target position coordinate information corresponding to the image information processed by the specification.

[0060] It should be noted that the above-mentioned prior feature information represents preset pupil contour feature information.

[0061] It should be noted that the above determination of whether the processed image feature information is consistent with the prior feature information indicates that the processed image feature information contains at least aa% of the prior feature information. Further, the above aa is 80.

[0062] It should be noted that the above-mentioned ellipse fitting process for all target image feature information is to perform individual ellipse fitting for the target image feature information to obtain the approximate shape of the pupil.

[0063] It should be noted that the above screening process for the ellipse contour feature information is to first calculate the confidence of each ellipse contour feature of the ellipse contour feature information and the preset pupil ellipse, and select the ellipse contour feature with the largest confidence as the target contour feature information.

[0064] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0065] In an optional embodiment, the above-mentioned estimated encoding processing of the target position information to obtain the target encoding information includes:

[0066] Using the parameter estimation model to perform parameter estimation processing on the target position information, to obtain target estimation parameter information;

[0067] Among them, the parameter estimation model is:

[0068]

[0069] In the formula, B k is the kth target estimation parameter value in the target estimation parameter information; ω(x i ) and ω(x j ) are the position weight coefficients corresponding to the i-th and j-th target position coordinate information in the target position information; A0(x), A1(x), A l-1 (x), A l (x) and A l+1 (x) are the 1st, 2nd, 1st, 1+1st and 1+2th estimated variable values ​​respectively; D l is the lth estimated weight coefficient; C1 and C l+1 are the 1st and l+1th correction factor values ​​respectively; x is the target position coordinate information; f(x i ) is the position correction value corresponding to the i-th target position coordinate information; n is the number of target position coordinate information;

[0070] The target estimation parameter information is encoded to obtain target encoding information.

[0071] It should be noted that the above position weight coefficients and correction factor values ​​are all preset by the user, and their values ​​do not exceed 1.

[0072] It should be noted that the expression of the above position correction value can be f(x i )=H*x i , where the value of H is a positive number between 0 and 1.

[0073] It should be noted that the use of parameter estimation models to estimate the target position information solves the problem of being sensitive to outliers and being easily affected by abnormal values. It is suitable for data with nonlinear relationships. It also solves the problem that traditional high-order polynomials are prone to overfitting when the data noise is large or the amount of data is small.

[0074] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0075] In another optional embodiment, encoding the target estimation parameter information to obtain target encoding information includes:

[0076] Performing binary conversion on the target estimation parameter information to obtain binary parameter information; the binary parameter information includes M binary parameter values;

[0077] Performing matrix conversion on the binary parameter information to obtain matrix parameter information; the matrix parameter information includes N matrix element values; N is a positive integer not less than M;

[0078] Perform grayscale binarization processing on the matrix parameter information to obtain grayscale image information;

[0079] The grayscale image information is fused to obtain the target coding information.

[0080] It should be noted that the above binary conversion of the target estimation parameter information is to convert the decimal target estimation parameter information into a binary parameter value.

[0081] It should be noted that the above matrix conversion of the binary parameter information is to fill all the binary parameter values ​​into the matrix in sequence according to the matrix specification of E*F, and fill the missing matrix elements in the matrix with 0.

[0082] Preferably, the above E is 4 and F is 30.

[0083] It should be noted that the grayscale binarization processing of the matrix parameter information is to convert the matrix element value of 0 into a white block, and convert the matrix element value of 1 into a gray block.

[0084] It should be noted that the above fusion processing of the grayscale image information is to splice all the color blocks corresponding to the grayscale image information into an overall image, so as to obtain the corresponding image code, that is, the target code information.

[0085] It can be seen that implementing the optical device calibration coding method described in the embodiment of the present invention is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0086] Embodiment 2

[0087] See also Figure 2 , Figure 2 : is a schematic diagram of the structure of an optical device calibration encoding device disclosed in an embodiment of the present invention. Figure 2 The described device can be applied to a warehouse management system, such as a local server or cloud server for warehouse logistics optical device calibration code management, etc., and the embodiments of the present invention are not limited thereto. Figure 2As shown, the device may include:

[0088] The acquisition module 201 is used to acquire optical device image information; the optical device image information includes a plurality of collected image information;

[0089] The first processing module 202 is used to perform position detection processing on the optical device image information to obtain target position information; the target position information includes a plurality of target position coordinate information;

[0090] The second processing module 203 is used to perform estimation coding processing on the target position information to obtain target coding information.

[0091] It can be seen that the implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0092] In another optional embodiment, Figure 2 As shown, the first processing module 202 performs position detection processing on the optical device image information to obtain target position information, including:

[0093] Pre-processing the optical device image information to obtain target processed image information; the target processed image information includes several specification processed image information;

[0094] Perform feature extraction and detection processing on the target processing image information to obtain the target position information.

[0095] It can be seen that the implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0096] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 performs pre-processing on the optical device image information to obtain target processed image information, including:

[0097] Binarization processing is performed on the image information of the optical device to obtain binary processed image information;

[0098] The binary processed image information is subjected to image specification adjustment processing to obtain target processed image information.

[0099] It can be seen that the implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0100] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 performs feature extraction and detection processing on the target processing image information to obtain target position information, including:

[0101] For any standard processed image information in the target processed image information, feature extraction is performed on the standard processed image information to obtain first image feature information corresponding to the standard processed image information;

[0102] The first image feature information is screened and processed to obtain second image feature information corresponding to the processed image information of the specification; the second image feature information includes a plurality of processed image feature information;

[0103] Based on the second image feature information, target position coordinate information corresponding to the standard processed image information is determined.

[0104] It can be seen that the implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0105] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 determines the target position coordinate information corresponding to the standard processed image information based on the second image feature information, including:

[0106] For any processed image feature information in the second image feature information, determine whether the processed image feature information is consistent with the prior feature information, and obtain a feature determination result;

[0107] When the feature judgment result is yes, determining that the processed image feature information is a target image feature information;

[0108] When the feature judgment result is no, the judgment process corresponding to the feature judgment result is terminated;

[0109] Perform ellipse fitting processing on all target image feature information to obtain ellipse contour feature information;

[0110] Screening and processing the ellipse contour feature information to obtain target contour feature information;

[0111] The center position of the target contour feature information is determined as the target position coordinate information corresponding to the image information processed by the specification.

[0112] It can be seen that the implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0113] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 performs estimation coding processing on the target position information to obtain target coding information, including:

[0114] Using the parameter estimation model to perform parameter estimation processing on the target position information, to obtain target estimation parameter information;

[0115] Among them, the parameter estimation model is:

[0116]

[0117] In the formula, B k is the kth target estimation parameter value in the target estimation parameter information; ω(x i ) and ω(x j ) are the position weight coefficients corresponding to the i-th and j-th target position coordinate information in the target position information; A0(x), A1(x), A l-1 (x), A l (x) and A l+1 (x) are the 1st, 2nd, 1st, 1+1st and 1+2th estimated variable values ​​respectively; D l is the lth estimated weight coefficient; C1 and C l+1 are the 1st and l+1th correction factor values ​​respectively; x is the target position coordinate information; f(x i ) is the position correction value corresponding to the i-th target position coordinate information; n is the number of target position coordinate information;

[0118] The target estimation parameter information is encoded to obtain target encoding information.

[0119] It can be seen that implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0120] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 performs encoding processing on the target estimation parameter information to obtain target encoding information, including:

[0121] Performing binary conversion on the target estimation parameter information to obtain binary parameter information; the binary parameter information includes M binary parameter values;

[0122] Performing matrix conversion on the binary parameter information to obtain matrix parameter information; the matrix parameter information includes N matrix element values; N is a positive integer not less than M;

[0123] Perform grayscale binarization processing on the matrix parameter information to obtain grayscale image information;

[0124] The grayscale image information is fused and processed to obtain the target coding information.

[0125] It can be seen that implementation Figure 2 The optical device calibration encoding apparatus described is conducive to achieving efficient and accurate line of sight estimation in a variety of complex situations, thereby improving the user experience and usage efficiency of the optical device.

[0126] Embodiment 3

[0127] See also Figure 3 , Figure 3 is a schematic diagram of the structure of another optical device calibration encoding device disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to a warehouse management system, such as a local server or cloud server for warehouse logistics optical device calibration code management, etc., and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device may include:

[0128] A memory 301 storing executable program codes;

[0129] a processor 302 coupled to the memory 301;

[0130] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the optical device calibration encoding method described in the first embodiment.

[0131] Embodiment 4

[0132] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the optical device calibration encoding method described in the first embodiment.

[0133] Embodiment 5

[0134] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the optical device calibration encoding method described in the first embodiment.

[0135] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0136] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0137] Finally, it should be noted that the optical device calibration encoding method and apparatus disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calibrating and encoding an optical device, characterized in that: The method comprises: Acquire optical device image information; the optical device image information includes a plurality of collected image information; Performing position detection processing on the optical device image information to obtain target position information; the target position information includes a plurality of target position coordinate information; The target position information is estimated and coded to obtain target coded information.

2. The optical device calibration encoding method according to claim 1, characterized in that: The performing position detection processing on the optical device image information to obtain target position information includes: Pre-processing the optical device image information to obtain target processed image information; the target processed image information includes a plurality of standard processed image information; Feature extraction and detection processing are performed on the target processed image information to obtain target position information.

3. The optical device calibration encoding method according to claim 2, characterized in that: The pre-processing of the optical device image information to obtain target processed image information includes: Binarizing the optical device image information to obtain binary processed image information; The binary processed image information is subjected to image specification adjustment processing to obtain target processed image information.

4. The optical device calibration encoding method according to claim 2, characterized in that: The step of performing feature extraction and detection processing on the target processed image information to obtain target position information includes: For any of the standard-processed image information in the target-processed image information, feature extraction is performed on the standard-processed image information to obtain first image feature information corresponding to the standard-processed image information; The first image feature information is screened to obtain second image feature information corresponding to the image information processed according to the specification; the second image feature information includes a plurality of processed image feature information; Based on the second image feature information, target position coordinate information corresponding to the standard processed image information is determined.

5. The optical device calibration encoding method according to claim 4, characterized in that: The step of determining target position coordinate information corresponding to the specification-processed image information based on the second image feature information includes: For any of the processed image feature information in the second image feature information, determine whether the processed image feature information is consistent with the prior feature information, and obtain a feature determination result; When the feature judgment result is yes, determining that the processed image feature information is a target image feature information; When the feature judgment result is no, ending the judgment process corresponding to the feature judgment result; Performing ellipse fitting processing on all the target image feature information to obtain ellipse contour feature information; Screening the ellipse contour feature information to obtain target contour feature information; The center position of the target contour feature information is determined as the target position coordinate information corresponding to the specification-processed image information.

6. The optical device calibration encoding method according to claim 1, characterized in that: The estimating and encoding processing of the target position information to obtain target encoding information includes: Using a parameter estimation model to perform parameter estimation processing on the target position information to obtain target estimation parameter information; Wherein, the parameter estimation model is: In the formula, B k is the kth target estimation parameter value in the target estimation parameter information; ω(x i ) and ω(x j ) are respectively the position weight coefficients corresponding to the i-th and j-th target position coordinate information in the target position information; A0(x), A1(x), A l-1 (x), A l (x) and A l+1 (x) are the 1st, 2nd, 1st, 1+1st and 1+2th estimated variable values ​​respectively; D l is the lth estimated weight coefficient; C1 and C l+1 are the 1st and l+1th correction factor values ​​respectively; x is the target position coordinate information; f(x i ) is the position correction value corresponding to the i-th target position coordinate information; n is the number of target position coordinate information; The target estimation parameter information is encoded to obtain target encoding information.

7. The optical device calibration encoding method according to claim 6, characterized in that: The encoding process of the target estimation parameter information to obtain target encoding information includes: Performing binary conversion on the target estimation parameter information to obtain binary parameter information; the binary parameter information includes M binary parameter values; Performing matrix conversion on the binary parameter information to obtain matrix parameter information; the matrix parameter information includes N matrix element values; N is a positive integer not less than M; Performing grayscale binarization processing on the matrix parameter information to obtain grayscale image information; The grayscale image information is fused to obtain target coding information.

8. An optical device calibration encoding device, characterized in that: The device comprises: An acquisition module, used for acquiring optical device image information; the optical device image information includes a plurality of collected image information; A first processing module is used to perform position detection processing on the optical device image information to obtain target position information; the target position information includes a plurality of target position coordinate information; The second processing module is used to perform estimation coding processing on the target position information to obtain target coding information.

9. An optical device calibration encoding device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the optical device calibration encoding method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the optical device calibration encoding method according to any one of claims 1 to 7.

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