Nonlinear visual coding from an intrinsic-geometry perspective

E. Barth* and A.B. Watson

NASA Ames Research Center, Moffet Field, CA.


Early and middle level visual coding can be explained in terms of intrinsic geometric properties of the visual input. We show how the Riemann tensor represents speed and direction of motion, and how integrated tensor components predict some global motion percepts. We also relate the results to properties of MT neurons.

*Present address:
Institute for Signal Processing, TZL, Seelandstr. 1a, Geb. 5, D-23569 Luebeck, Germany  

Supported by DFG grant Ba 1176/4-1 to EB
and NASA grant 199-06-12-39 to ABW.


The missing Quicktime movies can be viewed here.