Bayesian models of binocular 3-D motion perception

Lages, M. (2006) Bayesian models of binocular 3-D motion perception. Journal of Vision, 6(4), pp. 508-522. (doi:10.1167/6.4.14)

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Abstract

Psychophysical studies on 3-D motion perception have shown that perceived trajectory angles of a small target traveling in depth are systematically biased. Here predictions from Bayesian models are investigated that extend existing models of motion-first and stereo-first processing. These statistical models are based on stochastic representations of monocular velocity and binocular disparity input in a binocular viewing geometry. The assumption of noise in these inputs together with a plausible prior for 3-D motion leads to testable predictions of perceived trajectory angle and velocity. Results from two experiments are reported suggesting that disparity rather than motion processing introduces perceptual bias.

Item Type:Articles
Keywords:velocity difference, disparity change, motion in depth, uncertainty, stereo-motion
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lages, Dr Martin
Authors: Lages, M.
College/School:College of Science and Engineering > School of Psychology
Journal Name:Journal of Vision
Publisher:Association for Research in Vision and Ophthalmology
ISSN:1534-7362
ISSN (Online):1534-7362
Published Online:20 July 2006

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