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 |
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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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