11:00am Monday, 10 Oct 2005:

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Dynamic Scene Analysis using Non-Parametric Statistics
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Yonatan Wexler
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Weizmann Insitute of Science

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Complex dynamic scenes are very difficult to model. They do not have a
well defined geometric or parametric representations. Parametric and
geometric methods have therefor been limited in their ability to solve
real-world problems in Vision. Yet, texture and dynamic changes over
time provide rich statistical information about the scene. This
information is usually non-parametric. In this talk I will demonstrate
how by taking a non-parametric statistical approach, we are able to
solve difficult problems in the field of Computer Vision.
In particular, I will demonstrate the power of this approach through
several example problems. These include analysis, synthesis and
manipulation of complex dynamic video sequences, recovery of Epipolar
Geometry, and recovery of general unknown optical distortions without
modeling them parametrically.