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
Back to the Colloquium Page
Last modified: Fri Jan 7 11:23:04 PST 2000