Novel self-adaptive weight stereo matching method

An adaptive weight, stereo matching technology, applied in image data processing, instrumentation, calculation, etc., can solve the problems of discontinuous depth, inaccurate matching between occluded areas and weak texture areas, and insurmountable problems, so as to enhance and reduce the matching effect. The effect of block effect and block effect removal

Active Publication Date: 2018-11-27
SOUTH CHINA UNIV OF TECH
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the defects of binocular stereo matching technology are mainly reflected in the following aspects: the influence of external factors is difficult to overcome, the matching between occlusion areas and weak texture areas is inaccurate, and the matching of depth discontinuity points

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Novel self-adaptive weight stereo matching method
  • Novel self-adaptive weight stereo matching method
  • Novel self-adaptive weight stereo matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] Such as figure 1 , figure 2 and image 3 As shown, a new adaptive weight stereo matching method includes the following steps:

[0044] The images captured by the left and right cameras of S1 are respectively the left image and the right image, one of which is set as the reference image, and the other is the target image, and the left and right images establish an initial local matching window;

[0045] Stereo matching is based on the shooting of the same scene by two cameras located in different positions. The image obtained through the binocular vision system has the same mode as the binocular perception of the scene information. The left and right images obtained by the two cameras are symmetrically called the left image and the right image. The left image is set as the reference image, and the other is the target image. The main difficulty of the local stereo matching algorithm lies in the selection of the window size. If the window is too large, the matching accu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a novel self-adaptive weight stereo matching method. The novel self-adaptive weight stereo matching method comprises: obtaining a reference image and a target image; obtaininga representation method for each pixel supporting weight value; improving the traditional self-adaptive algorithm, selecting a gray scale absolute difference in a CIELab color space to replace a grayscale absolute difference in a RGB space; using the similarity measure method of Census nonparametric transformation to use a relationship between a central pixel point and pixels in the neighborhoodto replace a gray value of the central pixel point; and finally performing parallax post-processing of left and right consistency detection, sub-pixel enhancement, and median filtering. The inventioneffectively improves the matching precision, enhances the robustness of the stereo matching, and improves the block effect generated by the traditional algorithm in a low texture region.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a novel adaptive weight stereo matching method. Background technique [0002] Stereo matching is the process of finding the corresponding projection points of the spatial points in the three-dimensional scene in the two images obtained by shooting the same scene with two cameras at different positions, and generating a disparity map according to the coordinates of the matching points. The image acquired through the binocular vision system has the same mode as the binocular perception scene information. The left and right image pairs acquired by the two cameras are also called the reference image and the target image. Before stereo matching, the left and right images need to undergo epipolar correction. The corrected left and right image pixels are aligned, which reduces the search space for stereo matching and improves the matching efficiency. The goal of stereo matching ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/90
CPCG06T7/90G06T7/97G06T2207/10012G06T2207/20228
Inventor 杜娟赵欢徐晟
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap