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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
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/03/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
stereo matching, guidance image, cost aggregation, guided filter, bilateral filter,
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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.