计算机工程与应用Issue(15)：193-197,205,6.DOI:10.3778/j.issn.1002-8331.1308-0233
基于可变窗口视差优化的并行立体匹配
Parallel stereo matching using variable window based disparity refinement
摘要
Abstract
Aiming at the trade-off between accuracy and efficiency in current local stereo matching, a real-time stereo matching method based on adaptive window is proposed. In order to compensate the precision lose on cost aggregation based on ESAW(Exponential Step Adaptive Weight), a variable window based on pixel’s color similarity and Euclidean distance is built for each unreliable point in disparity refinement stage. Then the unreliable points are further classified as“occlusion”and“mismatch”, and different refinement strategies are taken for different classifications. The proposed method is optimized with CUDA(Compute Unified Device Architecture)and evaluated on graphic processor. The experiment results show that the proposed method can produce better results than the parallel stereo matching methods listed on the Middlebury stereo benchmark.关键词
并行立体匹配/基于自适应权重的指数级分段聚合方法(ESAW)/视差优化/可变窗口/统一计算架构(CUDA)Key words
parallel stereo matching/Exponential Step Adaptive Weight(ESAW)/disparity refinement/variable window/Compute Unified Device Architecture(CUDA)分类
信息技术与安全科学引用本文复制引用
许亮,田峥,王震..基于可变窗口视差优化的并行立体匹配[J].计算机工程与应用,2015,(15):193-197,205,6.基金项目
湖南第一师范学院校级科研项目（No.XYS14N04）。 （）
