计量学报2017，Vol.38Issue(3)：280-283,4.DOI:10.3969/j.issn.1000-1158.2017.03.06
基于自适应参数的匹配代价融合算法
A Combined Cost Algorithm Based on Adaptive Parameter
摘要
Abstract
Due to the limitations of single matching cost algorithm and the bad adaptive of fixed parameter combined method,a new combined cost based on adaptive parameters is presented.Firstly,sum of absolute difference and census algorithm were used to calculate the matching cost for each pixel separately.Secondly,the mean and standard deviation of cost for each pixel within the disparity range were calculated,and then the weight is obtained.Finally,the twoalgorithms together with the corresponding weight were combined,and then the new cost function is obtained.Experimental results show that the proposed method is better than single algorithm of matching error rate (reduced about 12％).And the cost function combines advantages of different algorithms in weak texture,repetition texture and changing illumination situations.关键词
计量学/立体匹配/代价融合/自适应参数/色彩空间Key words
metrology/stereo matching/combined cost/adaptive parameter/color space分类
通用工业技术引用本文复制引用
李海滨,董玉,李雅倩..基于自适应参数的匹配代价融合算法[J].计量学报,2017,38(3):280-283,4.基金项目
河北省自然科学基金(D2014203153 （）
D2015203310) （）
河北省留学基金(C2013003039) （C2013003039）
