Stereo Matching Based On Efficient Image-Guided Cost Aggregation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS(2016)
摘要
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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关键词
stereo matching, guidance image, cost aggregation, guided filter, bilateral filter
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