Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
Image/surface inpainting and camouflage: Do not believe what you see
Guillermo Sapiro
University of Minnesota
Monday, May 19, 2003
4:15 pm, TCSeq 200
http://robotics.stanford.edu/ba-colloquium/
Abstract
Inpainting is the art of modifying and image in a form that is not
detectable to an ordinary observer. The applications of this are
numerous, from special effects in movies to wireless image
transmission. In this talk we will describe novel algorithms for image
inpainting that we have been developing in the last few years. The
algorithms are based on partial differential equation such as those
used to model fluids. We will show how we can simultaneously
reconstruct structured and textured regions, show extensions to 3D
surface, and present numerous examples in special effects, image
reconstruction (from family photos to the Venus mission), image
compression and transmission, and 3D art reconstruction. We will also
talk about the connections of our algorithms with biological
processes.
About the Speaker
Guillermo Sapiro was born in Montevideo, Uruguay, on April 3, 1966.
He received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the
Department of Electrical Engineering at the Technion, Israel Institute
of Technology, in 1989, 1991, and 1993 respectively. After
post-doctoral research at MIT, Dr. Sapiro became Member of Technical
Staff at the research facilities of HP Labs in Palo Alto,
California. He is currently with the Department of Electrical and
Computer Engineering at the University of Minnesota.
G. Sapiro works on differential geometry and geometric partial
differential equations, both in theory and applications in computer
vision, computer graphics, medical imaging, and image analysis. He
recently co-edited a special issue of IEEE Image Processing in this
topic and a second one in the Journal of Visual Communication and
Image Representation. He has authored and co-authored numerous papers
in this area and has written a book published by Cambridge University
Press, January 2001.
G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence
in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence
in Vision and Image Understanding Work in 1992, the Rothschild
Fellowship for Post-Doctoral Studies in 1993, the Office of Naval
Research Young Investigator Award in 1998, the Presidential Early
Career Awards for Scientist and Engineers (PECASE) in 1988, and the
National Science Foundation Career Award in 1999.
G. Sapiro is a member of IEEE and SIAM.
Contact: bac-coordinators@cs.stanford.edu
Back to the Colloquium Page