International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 113 - Number 2 |
Year of Publication: 2015 |
Authors: M. Perez-patricio, A. Aguilar-gonzalez, J.l. Camas-anzueto, M. Arias-estrada |
10.5120/19795-1572 |
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
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.