doi:10.16186/j.cnki.1673-9787.2020.1.16

Received:2019/03/18

Revised:2019/04/29

Published:2020/01/15

Binocular stereo matching algorithm based on two-stage adaptive optimization

LI Baoping1, WANG Hongtao2

1.School of Physics & Electronic Information Engineering， Henan Polytechnic University， Jiaozuo  454000 ， Henan， China;2.School of Surveying and Land Information Engineering， Henan Polytechnic University， Jiaoz'uo  454000 ， Henan， China

Abstract:Aiming at the low accuracy problem of local stereo matching algorithm in weak texture region， a two-stage adaptive stereo matching algorithm based on cost initialization and cost aggregation was proposed. In cost initialization stage， the cross support window of pixel was constructed through double thresholds linear constraint ，and the adaptive function was constructed according to the shortest arm length to fuse AD and Census feature measures； in cost aggregation stage， an adaptive filter window was constructed by using cross support extension and morphological processing， and cost aggregation was realized by region filtering ； finally， the final parallax image could be obtained by parallax selection and refinement. The results of experiments on the Middlebury platform indicated that， compared with the traditional AD-Census fusion stereo matching algorithm， the overall matching error of the image set decreased by 3.95% ， and the matching error in the non-occlusion area decreased by 2. 17 % . Compared with the traditional filtering stereo matching algorithm， the proposed algorithm achieved better stereo matching effect in the weak texture region.

Key words:binocular stereo matching algorithm;two-stage adaptive optimization;region filtering;cross support

基于两阶段自适应优化的双目立体匹配算法_李宝平.pdf