Research Article

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

by  M. Perez-Patricio, A. Aguilar-Gonzalez, J.L. Camas-Anzueto, M. Arias-Estrada
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Issue 2
Published: March 2015
Authors: M. Perez-Patricio, A. Aguilar-Gonzalez, J.L. Camas-Anzueto, M. Arias-Estrada
10.5120/19795-1572
PDF

M. Perez-Patricio, A. Aguilar-Gonzalez, J.L. Camas-Anzueto, M. Arias-Estrada . A Fuzzy Logic Approach for Stereo Matching Suited for Real-Time Processing. International Journal of Computer Applications. 113, 2 (March 2015), 1-8. DOI=10.5120/19795-1572

                        @article{ 10.5120/19795-1572,
                        author  = { M. Perez-Patricio,A. Aguilar-Gonzalez,J.L. Camas-Anzueto,M. Arias-Estrada },
                        title   = { A Fuzzy Logic Approach for Stereo Matching Suited for Real-Time Processing },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 113 },
                        number  = { 2 },
                        pages   = { 1-8 },
                        doi     = { 10.5120/19795-1572 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A M. Perez-Patricio
                        %A A. Aguilar-Gonzalez
                        %A J.L. Camas-Anzueto
                        %A M. Arias-Estrada
                        %T A Fuzzy Logic Approach for Stereo Matching Suited for Real-Time Processing%T 
                        %J International Journal of Computer Applications
                        %V 113
                        %N 2
                        %P 1-8
                        %R 10.5120/19795-1572
                        %I Foundation of Computer Science (FCS), NY, USA
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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Index Terms
Computer Science
Information Sciences
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Keywords

fuzzy logic dense stereo vision real-time processing dedicated hardware feature-based

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