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