caa a22 4500 46324513X CHVBK 20180405153323.0 cr unu---uuuuu 170326e20071001xx s 000 0 eng 10.1007/s00422-007-0174-0 doi (NATIONALLICENCE)springer-10.1007/s00422-007-0174-0 Torreão José Instituto de Computação, Universidade Federal Fluminense, 24210-240, Niterói, Brazil aut Disparity estimation through Green's functions of matching equations [Elektronische Daten] [José Torreão] Binocular disparities arise from positional differences of scene features projected in the two retinae, and constitute the primary sensory cue for stereo vision. Here we introduce a new computational model for disparity estimation, based on the Green's function of an image matching equation. When filtering a Gabor-function-modulated signal, the considered Green's function yields a similarly modulated but shifted version of the original signal. Since a Gabor function models the receptive field of a cortical simple cell, the Green's kernel thus allows the simulation of relative shifts between the cell's left and right binocular inputs. A measure of the local degree of matching of such shifted inputs can then be introduced which affords disparity estimation in a similar manner to the energy model of the complex cortical cells. We have therefore effectively reformulated, in physiologically plausible terms, an image matching approach to disparity estimation. Our experiments show that the Green's function method allows the detection of disparities both from random-dot and real-world stereograms. Springer-Verlag, 2007 Biological Cybernetics Springer-Verlag 97/4(2007-10-01), 307-316 0340-1200 97:4<307 2007 97 422 https://doi.org/10.1007/s00422-007-0174-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00422-007-0174-0 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Torreão José Instituto de Computação, Universidade Federal Fluminense, 24210-240, Niterói, Brazil aut NATIONALLICENCE 773 0- Biological Cybernetics Springer-Verlag 97/4(2007-10-01), 307-316 0340-1200 97:4<307 2007 97 422 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer