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

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