Fast unambiguous stereo matching using reliability-based dynamic programming.

Minglun Gong; Yee-Hong Yang

doi:10.1109/tpami.2005.120

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Fast unambiguous stereo matching using reliability-based dynamic programming.

Minglun Gong·Yee-Hong Yang

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Abstract

An efficient unambiguous stereo matching technique is presented in this paper. Our main contribution is to introduce a new reliability measure to dynamic programming approaches in general. For stereo vision application, the reliability of a proposed match on a scanline is defined as the cost difference between the globally best disparity assignment that includes the match and the globally best assignment that does not include the match. A reliability-based dynamic programming algorithm is derived accordingly, which can selectively assign disparities to pixels when the corresponding reliabilities exceed a given threshold. The experimental results show that the new approach can produce dense (> 70 percent of the unoccluded pixels) and reliable (error rate < 0.5 percent) matches efficiently (< 0.2 sec on a 2GHz P4) for the four Middlebury stereo data sets.

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Algorithms Artificial Intelligence Cluster Analysis Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Information Storage and Retrieval Numerical Analysis, Computer-Assisted Pattern Recognition, Automated Photogrammetry Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Subtraction Technique Evaluation Study Journal Article Research Support, Non-U.S. Gov't

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Minglun Gong, Yee-Hong Yang. 2005. Fast unambiguous stereo matching using reliability-based dynamic programming.. https://doi.org/10.1109/tpami.2005.120

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