A Bayesian approach to the aperture problem of 3D motion perception

Wang, H.F., Heron, S., Moreland, J. and Lages, M. (2012) A Bayesian approach to the aperture problem of 3D motion perception. In: 2012 International Conference on 3D Imaging (IC3D), Liege, Belgium, 3-5 December 2012, pp. 1-8. (doi: 10.1109/IC3D.2012.6615116)

Abstract

We suggest a geometric-statistical approach that can be ap- plied to the 3D aperture problem of motion perception. In simulations and psychophysical experiments we study per- ceived 3D motion direction in a binocular viewing geometry by systematically varying 3D orientation of a line stimulus moving behind a circular aperture. Although motion direc- tion is inherently ambiguous perceived directions show sys- tematic trends and a Bayesian model with a prior for small depth followed by slow motion in 3D gives reasonable fits to individual data. We conclude that the visual system tries to minimize velocity in 3D but that earlier disparity processing strongly influences perceived 3D motion direction. We discuss implications for the integration of disparity and motion cues in the human visual system.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Wang, Dr Hong Fang and Lages, Dr Martin and Heron, Miss Suzanne
• Authors: Wang, H.F., Heron, S., Moreland, J., and Lages, M.
• College/School: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience; College of Science and Engineering > School of Psychology
• Copyright Holders: Copyright © 2012 IEEE
• First Published: First published in Proceedings of the 2012 International Conference on 3D Imaging (IC3D):1-8
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher