Detecting Rigid and Deformable Objects in Video Sequences
Speaker: Pascal Fua , Professor, Swiss Federal Institute of Technology (EPFL)
Date: March 14 2007
Time: 3:00PM to 4:00PM
Location: Kiva Seminar Room (32-G449)
Host: C. Mario Christoudias, Gerald Dalley, MIT CSAIL
Contact: C. Mario Christoudias, Gerald Dalley, 3-4278, 3-6095, cmch@csail.mit.edu, dalleyg@mit.edu
Relevant URL: Abstract:
I will present the real-time methods we have developed for detecting rigid and
deformable surfaces. They do no require any a priori pose knowledge and are
designed to work both in 2--D and 3--D. Our algorithms start from a set of wide
baseline point matches between an undeformed image of the object and the image
in which it is to be detected. The matches are then used not only to detect but
also to compute a precise mapping from one to the other.
I will discuss our approach to establishing the correspondences, to dealing with
the large number of parameters involved in modeling deformable surfaces, and to
rejecting erroneous matches. Finally, I will demonstrate our method's
applicability by using it to realistically modify the texture of a deforming
surface and to handle complex illumination effects.
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