%0 Journal Article
%T AN IMPROVED STEREO CORRESPONDENCE ALGORITHM BASED ON WAVELET TRANSFORM<br>改进的基于小波变换的立体视觉匹配方法
%A Zhong Sheng
%A Shi Qingyun
%A Cheng Minde
%A <br>钟声
%A 石青云
%A 程民德
%J 软件学报
%D 1994
%I 
%X This paper presents an efficient binocular correspondence algorithm based ondyadic wavelet transform. Compared with the conventional algorithm, this methodachieves higher accuracy and speed (improved by about one order of magnitude). Thestereo images are first d6composed on the dyadic wavelet bases. By analyzing the transform coefficients, the authors get an efficient method to remove noises and extract edges.Some basic constraints for matching, e. g. the one which requires that the edge directionsbe nearly the same, are naturally expressed by the coefficients. More importantly, theycan deduce four useful constraints for selecting the potential matches which they call thesmooth component gradient constraints and the smooth component Laplacian constraints.They have strong disambiguation power and greatly remove those potential matches thatwould cause mismatches, and thus greatly improve the accuracy and speed for matching.
%K Computer vision
%K stereo vision
%K correspondences
%K dyadic wavelet transform
%K disparing gradient
%K smooth components gradiant constraints
%K smooth components Laplace constraints<br>计算机视觉，立体匹配，对应点问题，二进小波变换，视差梯度，平滑分量梯度约束，平滑分量Laplace约束
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=0D7ADADD4E26D7A2152F2A28A626624A&yid=3EBE383EEA0A6494&vid=94C357A881DFC066&iid=5D311CA918CA9A03&sid=CA4FD0336C81A37A&eid=5D311CA918CA9A03&journal_id=1000-9825&journal_name=软件学报&referenced_num=2&reference_num=8