Dr. Sing Bing Kang Microsoft Research Redmond, WA Image-Based Rendering of Dynamic Scenes The ability to interactively control the viewpoint while watching a video is an exciting application of image-based rendering. Our goal is high-quality rendering of dynamic scenes with interactive viewpoint control using a relatively small number of video cameras. In this talk, I will describe how we achieved this goal using multiple synchronized video streams combined with novel image-based modeling and rendering algorithms. Once these video streams have been processed, we can synthesize any intermediate view between cameras at any time, with the potential for space-time manipulation. In our approach, we first use a color segmentation-based stereo algorithm to generate high-quality photoconsistent correspondences across all camera views. Mattes for areas near depth discontinuities are then automatically extracted to reduce artifacts during view synthesis. Finally, a new temporal two-layer compressed representation that handles matting is developed for rendering at interactive rates. This work was done with Larry Zitnick, Matthew Uyttendaele, Simon Winder, and Richard Szeliski. SHORT BIO: Sing Bing Kang received his Ph.D. in robotics from CMU in 1994. He is currently a researcher at Microsoft Corporation working on environment modeling from images. His paper on the Complex Extended Gaussian Image won the IEEE Computer Society Outstanding Paper award at CVPR'91. His IEEE Transactions on Robotics and Automation paper on human-to-robot hand mapping was awarded the 1997 King-Sun Fu Memorial Best Transaction Paper award. Sing Bing has published about 25 refereed journal papers and about 45 refereed conference papers, mostly on stereo and image-based rendering. He also holds 12 US patents and has co-edited two books in computer vision. Host: Chuck Stewart, x6731 Wednesday, November 3, 2004 DCC 324 - 4:00 p.m. to 5:00 p.m. Refreshments at 3:30 p.m.