Computational model for neural representation of multiple disparities

Authors:
Osamu Watanabe;Masanori Idesawa
Affiliations:
Department of Computer Science and Systems Engineering, Muroran Institute of Technology, Muroran, Hokkaido 050-8585, Japan;Graduate School of Information Systems, University of Electro-Communications, Chofu, Tokyo 182-8585, Japan
Venue:
Neural Networks
Year:
2003

Citing 7
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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.