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Method, apparatus, computer equipment and storage medium for obtaining disparity map

An acquisition method and disparity map technology, applied in the field of computer vision, can solve the problems of reducing the complexity of the stereo matching algorithm, high complexity, and the inability to improve the quality of the disparity map at the same time, so as to achieve the effect of improving the consistency of disparity and improving the accuracy

Active Publication Date: 2022-07-29
MEGVII BEIJINGTECH CO LTD
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Problems solved by technology

The complexity of the LSM algorithm is the lowest, but the quality of the output disparity map is poor. The quality of the disparity map of the GSM algorithm is the best, but the complexity is also the highest. Although the performance of the SGM algorithm is improved compared with the GSM algorithm, the quality of the algorithm is reduced.
[0004] Therefore, the above-mentioned method of obtaining the disparity map through the stereo matching algorithm has the problem of not being able to improve the quality of the disparity map and reduce the complexity of the stereo matching algorithm at the same time.

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  • Method, apparatus, computer equipment and storage medium for obtaining disparity map
  • Method, apparatus, computer equipment and storage medium for obtaining disparity map
  • Method, apparatus, computer equipment and storage medium for obtaining disparity map

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Embodiment Construction

[0053] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0054] The method for obtaining the disparity map provided by the present application can be applied to such as figure 1 In the application environment shown in A, in this application environment, at least two cameras are installed on the terminal a, which can photograph or photograph the target object in the same scene. Optionally, the method for obtaining the disparity map provided by the present application can also be applied to figure 1 In the application environment shown in B, in this application environment, at least one camera is installed on each of terminal...

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Abstract

The present invention relates to a method, apparatus, computer equipment and storage medium for obtaining a disparity map. The method calculates the matching cost value of each pixel in the input image by merging multiple types of matching cost functions to obtain the first matching cost, and then aggregates the matching cost of the first matching cost to obtain the second matching cost, and then uses SGM Algorithm or GSM algorithm, optimize the matching cost value corresponding to the edge pixels in the input image in the second matching cost, obtain the third matching cost, and then determine the target matching cost value of all pixels according to the third matching cost, And the disparity map of the input image is obtained according to the disparity value corresponding to the target matching cost value. The above method for obtaining the disparity map can improve the disparity consistency of the non-edge pixel point region in the input image and the accuracy of the calculation of the matching cost of the edge pixel point in the input image.

Description

technical field [0001] The present application relates to the technical field of computer vision, and in particular, to a method, apparatus, computer device and storage medium for obtaining a disparity map. Background technique [0002] With the development of stereo matching technology, dual-camera smartphones have been widely used, and mobile phone users have an increasingly strong demand for taking pictures or previewing the background blur effect. How can we obtain excellent quality by optimizing the stereo matching algorithm? The parallax map has become an urgent technical problem to be solved in the application of dual-camera smartphones. [0003] At present, stereo matching algorithms are mainly divided into three categories: Local Stereo Matching (LSM), Semi-Global Matching (SGM) and Global Stereo Matching (GSM). The LSM algorithm has the lowest complexity, but the quality of the output disparity map is poor. The quality of the disparity map of the GSM algorithm is ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/74G06K9/62
CPCG06F18/22
Inventor 王鹏
Owner MEGVII BEIJINGTECH CO LTD