Modeling Deformable Surfaces from Single Videos

Without a strong model, 3–D shape recovery of non-rigid surfaces from
monocular video sequences is a severely under-constrained problem.
Prior models are required to resolve the inherent ambiguities. In our
work, we have investigated several approaches to incorporating such
priors without making unwarranted assumptions about the physical
properties of the surfaces we are dealing with.
In this talk, I will present these approaches and discuss their relative
strengths and weaknesses. I will also demonstrate that they can be
incorporated into effective algorithms that can capture very complex
deformations.

Speaker Details

Pascal Fua received a degree from Ecole Polytechnique, Paris, in 1984 and a Ph.D. in Computer Science from the University of Orsay in 1989. He joined EPFL (Swiss Federal Institute of Technology) in 1996 where he is now a Professor in the School of Computer and Communication Science. Before that, he worked at SRI International and at INRIA Sophia-Antipolis as a computer scientist. His research interests include human body modeling from images, optimization-based techniques for image analysis and synthesis, and the use of information theory in the area of model-based vision. He has (co)authored over 100 publications in refereed journals and conferences.

Date:
Speakers:
Pascal Fua
Affiliation:
EPFL