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Local Stereo Matching with Adaptive and Rapid Cost Aggregation

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2 Author(s)
Li Li ; Comput. Sci. & Technol. Dept., Shandong Univ., Jinan, China ; Cai-Ming Zhang

This paper presents a new local binocular stereo matching algorithm. A local window with adaptive support weights is used to aggregate matching costs. A more robust matching score is set up combining sum of absolute intensity differences and a gradient based measure. Each pixel has a different disparity search range according to disparity gradient analysis and computational complexity decreases rapidly. Experimental results using the Middlebury stereo test bed demonstrate the validity of our presented approach.

Published in:

Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on  (Volume:2 )

Date of Conference:

26-27 Aug. 2009