A Fuzzy Logic Approach for Stereo Matching Suited for Real-Time Processing

Abstract : In this paper, a novel method that uses both area and feature based information as similarity measures for stereo matching is proposed. Area-based information is suited for non-homogeneous regions while feature information helps in homogeneous areas. In order to define a conjugate pair, a fuzzy logic approach that combines the similarity information is used. The proposed method preserves discontinuities while reducing matching errors in homogeneous regions. This proposal is suited for real-time processing using dedicated hardware. We demonstrate and discuss performance using synthetic stereo pairs.
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International Journal of Computer Applications, Foundation of Computer Science, 2015, 113 (2), 〈10.5120/19795-1572〉
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M. Pérez-Patricio, Abiel Aguilar-González, Jorge-Luis Camas-Anzueto, Miguel Arias-Estrada. A Fuzzy Logic Approach for Stereo Matching Suited for Real-Time Processing. International Journal of Computer Applications, Foundation of Computer Science, 2015, 113 (2), 〈10.5120/19795-1572〉. 〈hal-01657368〉

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