TR available

[Yair Weiss]

 Hi,
 
 The following paper describing a Bayesian theory for human motion
 perception is now available online via:
 
 http://www-bcs.mit.edu/~yweiss/weiss.html#slowSmooth
 
 
 This paper forms part of my dissertation that is also downloadable from 
 http://www-bcs.mit.edu/~yweiss/thesis.html
 
 
 Comments are most welcome.
 
  Yair
 
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 Title: Slow and Smooth: a Bayesian theory for the combination of
 local motion signals in human vision
 
 Author: Yair Weiss and Edward H. Adelson
 
 Reference: MIT AI Memo 1624, MIT CBCL Paper 158.
 
 Abstract: In order to estimate the motion of an object, the visual
 system needs to combine multiple local measurements, each of which
 carries some degree of ambiguity.  We present a model of motion
 perception whereby measurements from different image regions are
 combined according to a Bayesian estimator --- the estimated motion
 maximizes the posterior probability assuming a prior favoring slow and
 smooth velocities. In reviewing a large number of previously published
 phenomena we find that the Bayesian estimator predicts a wide range of
 psychophysical results.  This suggests that the seemingly complex set
 of illusions arise from a single computational strategy that is
 optimal under reasonable assumptions.