Computer Science Research Seminar

11:30 am - 12:30 pm, Wednesday, February 24, 2010

Prof. Chris Bregler

Courant Institute, New York University

Title: Next Generation Motion Capture: From Silver Screen to iPhone Screen


Abstract:

This talk will cover several research projects centered around the use of vision and motion capture for animation, recognition, entertainment, and gaming. This includes human movements as diverse as subtle eye-blinks, lip-motions, spine-deformations, human walks and dances, animal and cartoon motion capture, and the production of the "Wii for the Thousands": Squidball.net, the largest motion capture game to date.

In addition to the survey, I will focus on a new project, GreenDot, that captures, analyzes, and clusters body-language styles of politicians and other public figures while they give speeches.

Biography:

Chris Bregler is an Associate Professor of Computer Science at NYU's Courant Institute. He received his M.S. and Ph.D. in Computer Science from U.C. Berkeley in 1995 and 1998 and his Diplom from Karlsruhe University in 1993. Prior to NYU he was on the faculty at Stanford University and worked for several companies including Hewlett Packard, Interval, Disney Feature Animation, and LucasFilm's ILM. He founded the Stanford Movement Group and the NYU Movement Group, which does research in Vision and Graphics with a focus on Motion Capture, Animation, Interactive Media, and Applications to Entertainment, Art, and Medicine. This resulted in numerous publications, patents, and awards from the National Science Foundation, Sloan Foundation, Packard Foundation, Office of Naval Research, Electronic Arts, Microsoft, and other sources. He was named Stanford Joyce Faculty Fellow and Terman Fellow in 1999. He received the Olympus Prize for achievements in computer vision and AI in 2002, and was named a Sloan Research Fellow in 2003. He was the chair for the SIGGRAPH 2004 Electronic Theater and Computer Animation Festival. At CVPR 2008 he was awarded the IEEE Longuet-Higgins Prize for "Fundamental Contributions in Computer Vision that have withstood the test of time".

For more information about this colloquium, please contact Habib M. Ammari at cschma@hofstra.edu