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Stereo Matching Based on Efficient Image-Guided Cost Aggregation Yunlong ZHAN Yuzhang GU Xiaolin ZHANG Lei QU Jiatian PI Xiaoxia HUANG Yingguan WANG Jufeng LUO Yunzhou QIU Publication IEICE TRANSACTIONS on Information and Systems Vol.E99-D No.3 pp.781-784 Publication Date: 2016/03/01 Publicized: 2015/12/09 Online ISSN: 1745-1361 DOI: 10.1587/transinf.2015EDL8223 Type of Manuscript: LETTER Category: Image Recognition, Computer Vision Keyword: stereo matching, guidance image, cost aggregation, guided filter, bilateral filter, Full Text: PDF>>
Summary: Cost aggregation is one of the most important steps in local stereo matching, while it is difficult to fulfill both accuracy and speed. In this letter, a novel cost aggregation, consisting of guidance image, fast aggregation function and simplified scan-line optimization, is developed. Experiments demonstrate that the proposed algorithm has competitive performance compared with the state-of-art aggregation methods on 32 Middlebury stereo datasets in both accuracy and speed. | |||||
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