Stereo matching method based on disparity map pixel classification correction optimization

A stereo matching and image pixel technology, applied in the field of stereo vision, can solve the problem of inaccurate parallax correction optimization

Inactive Publication Date: 2013-07-31
SHANXI UNIV
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Problems solved by technology

[0005] In order to solve the problem of inaccurate parallax correction optimization existing in the existing stereo matching met

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  • Stereo matching method based on disparity map pixel classification correction optimization
  • Stereo matching method based on disparity map pixel classification correction optimization
  • Stereo matching method based on disparity map pixel classification correction optimization

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Embodiment Construction

[0078] Specific embodiments of the present invention will be described in detail below.

[0079] A stereo matching method based on disparity map pixel classification correction optimization, comprising the following steps:

[0080] (I) Estimate the initial disparity value: take the left and right views as reference images respectively, use the method based on the combination of grayscale difference and gradient to aggregate the matching cost, obtain the left and right disparity maps, and then pass the left and right Consistency detection (cross-validation) eliminates mismatching points to obtain an initial reliable disparity map.

[0081] details as follows:

[0082] The initial reliable disparity map is formed by local stereo matching algorithm, which requires a matching kernel and aggregation window, and is obtained by disparity estimation. The matching kernel is the matching cost. Usually, the square of the pixel gray value difference and the absolute value of the pixel g...

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Abstract

The invention relates to the technical field of stereo vision, in particular to a stereo matching method. The method solves the problem that the accuracy of disparity correction optimization of the existing stereo matching method is insufficient. The stereo matching method based on disparity map pixel classification correction optimization comprises the following steps that (I) cost aggregation is conducted by taking a left view and a right view as references and based on a method combining a gray scale difference with a gradient, and a left disparity map and a right disparity map are obtained and subjected to left and right consistency detection to generate an initial reliable disparity map; (II) correlation credibility detection and weak texture area detection are conducted, and a pixel is classified into stable matching pixel points, unstable matching pixel points, occlusion area pixel points and weak texture area pixel points; (III) the unstable matching points are corrected by an adaptive weight algorithm based on improvement, and the occlusion area points and the weak texture area points are corrected by a mismatching pixel correction method; and (IV) the corrected disparity maps are optimized by an algorithm based on division, and dense disparity maps are obtained.

Description

technical field [0001] The invention relates to the technical field of stereo vision, in particular to a stereo matching method based on disparity map pixel classification, correction and optimization. Background technique [0002] Stereo matching is a hot and difficult point in the field of machine vision research, and has a wide range of applications and prospects in the field of stereo vision. Stereo matching is a process of obtaining the parallax map of the scene by establishing a one-to-one correspondence between the stereo images of the same scene in three-dimensional space under different viewpoints. [0003] The difficulty of stereo matching is mainly to eliminate the ambiguity and ambiguity of the matched images. Ambiguity and fuzziness are caused by noise in the acquisition of the image as well as dramatic changes in the scene itself, weak textures, and regions of repeated textures. In order to deal with these morbid problems, stereo matching algorithms adopt dif...

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Application Information

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IPC IPC(8): G06T5/50G06T7/00
Inventor 张丽红何树成
Owner SHANXI UNIV
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