Abstract

This paper describes a computational approach to the study of visual information processing. Computational studies have shown that many vision problems do not have a unique solution using information available in the retinal images. Most computational models therefore impose additional physically plausible constraints. In this paper, we provide a computational framework for visual motion analysis, in particular models of 2D velocity field computation and recovery of 3D structure from motion information. We also illustrate how computational models provide insights on the neural mechanisms and simulate physiological and psychophysical data.

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