机器人Issue(1)：1-7,7.DOI:10.13973/j.cnki.robot.2016.0001
多种相似性测度结合的局部立体匹配算法
A Local Stereo Matching Algorithm Based on the Combination of Multiple Similarity Measures
卢迪 1林雪1
作者信息
- 1. 哈尔滨理工大学电气与电子工程学院，黑龙江 哈尔滨 150080
- 折叠
摘要
Abstract
Aiming at the difficulties in choosing matching cost and support window in stereo matching, a local stereo matching algorithm based on the combination of multiple similarity measures is proposed. Firstly, a matching cost is con-structed, in which the census transform of image, the WLD (Weber local descriptor) feature of image, the color information of image and the gradient information of image are combined. Secondly, the guided filter is used to aggregate matching cost. Finally, a disparity refinement algorithm based on confidence and weighted filtering is proposed to eliminate the disparity choosing ambiguity brought by WTA (winner take all) strategy and horizontal stripe brought by LRC (left-right consistency) check. The standard test images provided by Middlebury test platform are used to test the proposed algorithm, and the per-centage of bad matching pixel is 5.30%. Comparing with some high-performance algorithms, such as FastBilateral algorithm, the proposed method can achieve a higher matching accuracy.关键词
局部立体匹配/匹配代价/引导滤波/视差修正Key words
local stereo matching/matching cost/guided filter/disparity refinement分类
信息技术与安全科学引用本文复制引用
卢迪,林雪..多种相似性测度结合的局部立体匹配算法[J].机器人,2016,(1):1-7,7.
