计算机工程2016，Vol.42Issue(11)：272-276,280,6.DOI:10.3969/j.issn.1000-3428.2016.11.045
基于跨尺度代价聚合的改进立体匹配算法
Improved Stereo Matching Algorithm Based on Cross-scale Cost Aggregation
摘要
Abstract
An improved algorithm is proposed based on cross-scale cost aggregation for stereo matching because the existing stereo matching algorithms cannot take both accuracy and speed into account.Firstly the matching cost volume is computed by the intensity and gradient algorithm.Then the matching cost volume is aggregated by guide filtering and the matching cost volume of different scales is aggregated by the cross-scale model.The patch matching approximation algorithm is used instead of the traditional Winner Taker All(WTA)algorithm to calculate the initial parallax,and the weighted median filtering is adopted for subsequent processing in parallax elaboration.Experimental results show that the algorithm can rapidly obtain the disparity map and also improve the matching accuracy.关键词
立体匹配算法/跨尺度模型/代价聚合/引导滤波/快速加权中值滤波Key words
stereo matching algorithm/cross-scale model/cost aggregation/guided filtering/fast weighted median filtering分类
信息技术与安全科学引用本文复制引用
汤春明,蒋昂..基于跨尺度代价聚合的改进立体匹配算法[J].计算机工程,2016,42(11):272-276,280,6.基金项目
天津市第三批“三年千人”计划项目（62014511）；天津工业大学高层次人才及教师引进计划项目（030367）。 （）
