[CPL Seminar]
[Schedule]
[Jan 9]
[Jan 16]
[Jan 23]
[Jan 30]
[Feb 6]
[Feb 20]
[Feb 25]
[Mar 7 Shum]
[Mar 7 Szeliski]
[Mar 13]
[Mar 20]
[Mar 27]
[April 3]
[April 10]
[April 17]
[April 24]

Richard Szeliski
Microsoft Research

Stereo Algorithms and Representations for Image-Based Rendering

In this talk, I will review a number of stereo matching algorithms and representations we 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, as well as our latest "LightBundles" representation that factors scenes into separate diffuse and specular components. 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 Interactive Visual Media
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 80 research papers in computer vision,
computer graphics, medical imaging, and neural nets, as well as the book
Bayesian Modeling of Uncertainty in Low-Level Vision. He was a Program
Committee Chair for ICCV'2001, and is on the Editorial Board of the
International Journal of Computer Vision. He has 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.