TODAY: SU Adaptive Networks Colloquium

[Mark Gluck]

         Stanford University Interdisciplinary Colloquium Series:
                 ADAPTIVE NETWORKS AND THEIR APPLICATIONS
   

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Apr. 26 (Tuesday, 3:15pm):
     CHRISTOF KOCH                  "Computing Optical Flow in Man and Machine"
      Div of Biology; 216-76
      Calif. Inst. of Technology
      Pasadena, Ca  91125
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                             ABSTRACT
 The key problem in computing motion from the time-varying image
intensity is the aperture problem.  Using a form of smoothness constraint,
i.e. the computed opical flow should be (1) compatible with the measured 
data, and (2) as smooth as possible, leads to a variational formulation.
The resulting energy functional can be minimized using different networks.
Choosing an "analog" or "frequency" representation of velocity leads to a
simple resistive network, built out of linear resistances and current and 
voltage sources.  We are currently implementing these networks into VLSI
circuits.  Choosing the "place" or "unit" representation in agreement with
cortical physiology, leads to a different network, with a much higher 
connectivity and non-linear neurons.  We are mapping these neuronal 
networks onto the primate's visual system, simulating the X and Y pathways 
into V1 and the subsequent motion field computation in MT. 

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Location: 
 Room 380-380C which can be reached through the lower level courtyard between 
 the Psychology and Mathematical Sciences buildings.

Information:
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 contact Mark Gluck, Bldg. 420-316; (415) 725-2434 or email to
 gluck at psych.stanford.edu