Motion illusions as optimal percepts

Yair Weiss , Eero P. Simoncelli and Edward Adelson

Published in:
Nature:Neuroscience
Vol 5, num 6, pp 598-604, June 2002.
© Macmillan Magazines Ltd.

Related publications:
  • More general Bayesian model fit to perceptual data: NN06, nips04
  • Physiological instantiation of Bayesian motion model: Chalupa03
  • Bayesian perceptual model: PhD93, arvo94, arvo92
  • Bayesian multi-scale optical flow computation: Jähne98, cvpr91


The pattern of local image velocities on the retina encodes important environmental information. Although humans are generally able to extract this information, they can easily be deceived into seeing incorrect velocities. We show that these illusions arise naturally in a system that attempts to estimate local image velocity. We formulated a model of visual motion perception using standard estimation theory, under the assumptions that (i) there is noise in the initial measurements and (ii) slower motions are more likely to occur than faster ones. We found that specific instantiation of such a velocity estimator can account for a wide variety of psychophysical phenomena.
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