A local stereo matching method based on multi-feature union

A stereo matching, multi-feature technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of affecting matching accuracy, increasing the mismatch of weak texture areas, and mismatching of discontinuous areas of parallax, so as to improve matching efficiency and improve Matching effect, the effect of improving accuracy

Active Publication Date: 2021-10-26
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

The size of the support window affects the matching accuracy. If the window is too large, the aggregation process of the matching cost will contain neighborhood information that does not have guiding significance, resulting in mismatching in discontinuous areas of disparity. If the window is too small, the matching cost will be differentiated. Too low will increase mis-match in weakly textured areas
[0007] At present, the defects of binocular stereo matching technology are mainly reflected in the lack of matching accuracy and real-time performance, and many algorithms are difficult to take into account the dual requirements of precision and real-time performance

Method used

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  • A local stereo matching method based on multi-feature union
  • A local stereo matching method based on multi-feature union
  • A local stereo matching method based on multi-feature union

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[0041] The implementation of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation and protection of the present invention are not limited thereto. It should be pointed out that if there are no specific details below, those skilled in the art can refer to the prior art. of.

[0042] Such as figure 1 The matching method of the present invention shown includes the following steps:

[0043] Step 1: Correct the input left and right images according to the parameters of the binocular camera, and use the Harris feature extraction algorithm to extract the feature points of the left and right images.

[0044] The Harris feature extraction algorithm is a signal-based feature point extraction operator proposed by Harris and Stephens in 1988. Its principle is to create a local window W with a certain feature point P(x,y) in the image as the center. , if a small movement of the window W in any direction leads to an ob...

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Abstract

The invention discloses a local stereo matching method based on multi-feature union. Firstly, Harris feature points are extracted from an input image, matching feature points with high accuracy are obtained through feature matching, parallax of the matching feature points is calculated and a parallax range is estimated. For non-feature points, combined with image LAB color space information, image invariant moments and image gradient information to construct a joint matching cost, use the calculated disparity search range to perform regional matching, and obtain an overall dense disparity map. The method of the invention has low complexity and high matching precision, and is suitable for occasions requiring high real-time performance.

Description

technical field [0001] The present invention relates to digital image processing technology, more specifically to a local stereo matching method based on multi-feature union. Background technique [0002] Stereo Matching has always been a technical difficulty in binocular stereo vision. The purpose of binocular stereo vision is to simulate human eyes to obtain three-dimensional scene information, obtain two-dimensional images of the scene from two angles, perform stereo matching and reconstruct a three-dimensional model. The goal of stereo matching is to find the matching corresponding points from different viewpoint images to obtain the disparity map, and then obtain the depth of field of the object through the triangulation relationship. It is widely used in medical imaging, 3D reconstruction, robot vision navigation and target tracking, etc. field. [0003] Most current stereo matching algorithms include four steps: (1) matching cost calculation, (2) cost aggregation (c...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/593G06T7/33
CPCG06T2207/10012G06T7/337G06T7/593
Inventor 杜娟徐晟胡跃明
Owner SOUTH CHINA UNIV OF TECH
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