Multi-soft-constraint stereo matching method based on cost matrix

A cost matrix, stereo matching technology, applied in image analysis, image enhancement, instrumentation, etc., can solve the problems of lack of texture, edge mismatch, strong dependence on prior condition constraints, etc.

Active Publication Date: 2015-08-05
WUHAN UNIV
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Problems solved by technology

[0005] The present invention mainly solves the problem of excessive dependence on the priori condition constraints existing in the prior art; it provides a multiple soft constraint cost accumulation method based on t

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  • Multi-soft-constraint stereo matching method based on cost matrix
  • Multi-soft-constraint stereo matching method based on cost matrix
  • Multi-soft-constraint stereo matching method based on cost matrix

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[0046] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0047] please see figure 1 , a kind of multiple soft constraint stereo matching method based on cost matrix provided by the present invention, comprises the following steps:

[0048] Step 1: Select one of the epipolar images in the original image set as the reference image, and use AD-Census-Sobel as the similarity measure for each pixel, calculate the matching cost of each candidate disparity value, and generate a three-dimensional matching cost matrix;

[0049] The AD-Census-Sobel similarity measure is defined as follows:

[0050] cost(p,d)=exp(α*AD(p,d)...

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Abstract

The invention discloses a multi-soft-constraint stereo matching method based on a cost matrix. The method comprises the following steps: calculating a three-dimensional matching cost matrix at first, then carrying out multiple-dimension downsampling, and forming a cost matrix pyramid; carrying out the corresponding multiple-dimension downsampling of an image, forming an image pyramid, and carrying out segmentation of all image layers; carrying out cost accumulation of self-adaption weight layer by layer and cost accumulation under the voting-type segmentation constraint secondly, and achieving the cost accumulation under the multiple-dimension constraint through transmitting the cost accumulation results of the upper layer to the lower cost matrix; and achieving stereo matching through combining a reliable point cost diffusion method in a bottom layer cost matrix. The method improves the stability and reliability of matching results, solves the matching problems of weak texture and repeated texture regions and parallax error discontinuous places, and can be used for improving modeling, related to the engineering application of stereo matching, based on images.

Description

technical field [0001] The invention belongs to the technical field of computational vision and photogrammetry, and relates to a stereo matching method based on a cost matrix, in particular to a stereo matching method based on a cost matrix with multiple soft constraints. Background technique [0002] Stereo matching is a fundamental and key problem in the fields of computational vision and photogrammetry. The concept of stereo matching was first proposed in the field of photogrammetry to solve the problem of automatic mapping of digital aerial photogrammetry. Stereo matching is also a key issue in the field of computer vision, affecting modeling of the human visual system, robot navigation and manipulation, 3D model building, and mixing real-world actions with computer-generated images. [0003] Stereo matching is a pathological problem, especially for the lack of texture and repeated texture regions, and the mismatching problems of discontinuous disparity have been diffic...

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Application Information

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IPC IPC(8): G06T7/00G06K9/64
CPCG06T7/10G06T7/529G06T2207/20172G06T2207/10012G06V10/759G06V30/195
Inventor 张永军张彦峰黄旭
Owner WUHAN UNIV
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