Stereo Matching Algorithm Based on Improved Census Transform
WANG Mengjiao
LIU Gang
CHEN Zhiwei
Abstract：The traditional Census transform stereo matching algorithm is easy to be affected by the gray value of the center pix-el,which leads to mismatching.In order to further improve the matching accuracy,an improved Census transform stereo matching algorithm is proposed.The δ,which describes the contrast value of local pixels,is added to the traditional Census transform as the evaluation criterion for selecting central pixels,so that the Census value of central pixels contains more information in the window,and the final matching cost function is obtained by combining the AD transform,which effectively improves the matching accuracy and robustness of the algorithm.The cost aggregation is carried out by cross domain algorithm and the optimal parallax is calculated by winner-take-all algorithm.In the parallax optimization stage,the left and right consistency check,iterative local voting and par-allax filling are used to complete the parallax optimization,and the final parallax map is obtained to further improve the accuracy of the algorithm.The proposed algorithm is used to conduct experiments on data sets on the Middleburry platform.The experimental re-sults show that the average mismatching rate of the proposed algorithm is 6.41%,which is lower than that of other improved Census transform algorithms by 3.32%and 4.49%respectively,thus effectively reducing the mismatching rate and achieving better parallax effect.
Keywords：binocular visionCensus transformstereo matchingparallax
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：5( 3045-3049 )