title: Computational model for neural representation of multiple disparities.
abstract: It has been known that the visual system can detect more than one disparity and/or motion direction at the same region in the image. These multiple (or transparent) surfaces can be perceived when, for example, we are looking scenes through a glass. However, many conventional models cannot deal with these multiple surfaces. The present paper investigates the neural encoding and decoding of multiple disparities with the binocular energy model, which is known as a biologically plausible model. Based on the analysis of the response of the energy model to multiple disparities, the present paper proposes a stereo model that can detect disparities of two overlapping surfaces.
authors.affiliation: Graduate School of Information Systems, University of Electro-Communications, Chofu, 182-8585, Tokyo, Japan. watanabe@csse.muroran-it.ac.jp
authors.forename: Osamu
authors.initials: O
authors.lastname: Watanabe
authors.forename: Masanori
authors.initials: M
authors.lastname: Idesawa
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008959:Models, Neurological; D011153:Population; D015348:Vision, Binocular / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*