Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
Stereo Algorithms and Representations for Image-Based Rendering
Richard Szeliski
Vision Technology Group
Microsoft Research
Wednesday, February 9, 2000
refreshments 4:05PM, talk begins 4:15PM
TCseq201, Lecture Hall B
http://robotics.stanford.edu/ba-colloquium/
Abstract
In this talk, I will review a number of stereo matching algorithms and
representations I have developed in the last few years. The talk focuses
on techniques that are especially well suited for image-based rendering
applications such as novel view generation and the mixing of live imagery
with synthetic computer graphics. I will begin by reviewing some recent
approaches to the classic problem of recovering a depth map from two or
more images. I will then describe a number of newer representations (and
their associated reconstruction algorithms), including volumetric
representations, layered plane-plus-parallax representations, and multiple
depth maps. Each of these techniques has its own strengths and weaknesses,
which I will address.
About the Speaker
Richard Szeliski is a Senior Researcher in the Vision Technology Group at
Microsoft Research, where he is pursuing research in 3-D computer vision,
video scene analysis, and image-based rendering. His current focus is on
constructing photorealistic 3D scene models from multiple images and video.
He received a Ph. D. degree in Computer Science from Carnegie Mellon
University, Pittsburgh, in 1988. He joined Microsoft Research in
1995. Prior to Microsoft, he worked at Bell-Northern Research, Schlumberger
Palo Alto Research, the Artificial Intelligence Center of SRI
International, and the Cambridge Research Lab of Digital Equipment
Corporation.
Dr. Szeliski has published over 60 research papers in computer vision,
computer graphics, medical imaging, neural nets, and parallel numerical
algorithms, as well as the book Bayesian Modeling of Uncertainty in
Low-Level Vision. He served as co-chair of the SPIE Conferences on
Geometric Methods in Computer Vision, the 1999 Vision Algorithms Workshop,
and as an Associate Editor of the IEEE Transactions on Pattern Analysis and
Machine Intelligence.
bac-coordinators@cs.stanford.edu
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Last modified: Fri Jan 7 11:23:04 PST 2000