A neural model for stereo transparency with the population of the disparity energy models

Authors:
Osamu Watanabe
Affiliations:
Department of Computer Science and Systems Engineering, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido 050-8585, Japan
Venue:
Neurocomputing
Year:
2008

Citing 4
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Computational model for neural representation of multiple disparities

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A coarse-to-fine disparity energy model with both phase-shift and position-shift receptive field mechanisms

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Nonlinearity of the population activity to transparent motion

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Abstract

The disparity energy model can interpret a variety of physiological properties of binocular neurons in the early visual cortex quantitatively. Therefore, many physiologically plausible models for binocular stereopsis employed the disparity energy model as a model neuron. These models can explain a variety of psychological findings concerning stereo perception. However, most of the models cannot handle with stereo transparency. Here, we develop a simple stereo model for transparency perception with the hybrid-type disparity energy model, and examine the ability to detect overlapping disparities. Computer simulations showed that the model properties of transparency detection are consistent with many psychophysical findings concerning stereo transparency.