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Speaker:        Dr.  Pierre Kornprobst
                INRIA, Odyssee Laboratory
                France

Topic:          "Introduction to partial differential equations (PDEs)
                 in computer vision: framework and applications"

Date:           Tuesday, 5 November 2002

Time:           4:30 pm - 5:30pm

Venue:          Lecture Theater H
                (Chen Kuan Cheng Forum, near lift nos. 27/28)
                HKUST

ABSTRACT:

The aim of this talk is to illustrate how PDE based methods can be used in
computer vision. This will be shown by reviewing to classical computer
vision problems: image restoration and motion estimation (under different
hypotheses on intensity variations). Some hints of the underlying
mathematics will be given and I will conclude by presenting challenging
applications where PDEs are successfully applied



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Biography:
Pierre Kornprobst obtained his Ph.D in Mathematics from the University of
Nice in November 1998. His research interests include viscosity solution,
nonlinear parabolic equations, optimization problems and the calculus of
variations. He is interested in the application of these notions to
computer vision topics such as image restoration and enhancement, optical
flow computation, image sequence analysis (restoration and segmentation),
medical imagery. He has recently published a book at Springer on PDEs and
computer vision, co-written with Gilles Aubert


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