NEAR REAL-TIME LOCAL STEREO MATCHING ALGORITHM BASED ON FAST GUIDED IMAGE FILTERING

被引：0
|
作者：
Hong, Gwang-Soo [1 ]
Pare, Jong-Kweon [2 ]
Kim, Byung-Gyu [3 ]
机构：
[1] Sunmoon Univ, Dept Comp Engn, A San, South Korea
[2] Korea Inst Machinery & Mat, A San, South Korea
[3] Sookmyung Womens Univ, Dept IT Engn, Seoul, South Korea
来源：
PROCEEDINGS OF THE 2016 6TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP) | 2016年
关键词：
Local Stereo Matching; Cost Volume Filtering; Guided Image Filtering; Fast Guided Image Filtering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Accuracy and computational complexity are challenges of stereo matching algorithm. Much research has been devoted to stereo matching based on cost volume filtering of matching costs. Local stereo matching based guided image filtering (GIF) has a computational complexity of O(N). A proposed algorithm focuses on reduction of computational complexity using the concept of fast guided image filter, which increase the speed up to O(N/s(2)) with a sub-sampling ratios. Experimental results using the Middlebury benchmark indicated the proposed algorithm achieved effective local stereo matching with a fast execution time.
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页数：5
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