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Adaptive support-weight approach for correspondence search
1Department of Electrical Engineering and Computer Science, KAIST, 373-1, Guseong-dong, Yuseong-gu, Daejeon, Korea. kjyoon@rcv.kaist.ac.kr
Abstract:
We present a new window-based method for correspondence search using varying support-weights. We adjust the support-weights of the pixels in a given support window based on color similarity and geometric proximity to reduce the image ambiguity. Our method outperforms other local methods on standard stereo benchmarks.
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