Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision

Animation by Example

Michael Gleicher
University of Wisconsin - Madison

Monday, October 28, 2002, 4:15PM
TCSeq 200


Motion for computer animation is notoriously difficult to create. In order to achieve the expressiveness, subtlety and realism of quality motion, practitioners have relied on either capturing the movements of real performers, or labor and skill intensive manual specification methods. Such methods create specific, short clips of motion. These clips may provide the desired quality, but lack the flexibility required when all movements cannot be pre-planned. In contrast to clip-based methods, motion synthesis approaches can flexibly create motions on the fly, but (to date) have not provided sufficient quality. In this talk, I will survey our efforts to create high-quality motion for animation in a flexible manner. I will begin by reviewing some of our previous efforts in motion editing, the problem of adapting motions to meet new needs. I will discuss how the successes and failures of these approaches have lead us to a number of new directions. I will describe several of our recent results, including preserving the fine details of motions during editing, creating high-level control abstractions for motion, and synthesizing new motions by assembling pieces of existing motions. Combined, these developments promise to allow flexible creation of high-quality motion based on an initial set of example motions.

About the Speaker

Michael Gleicher is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin, Madison. Prof. Gleicher joined the University in 1998 to start a computer graphics group within the department. The overall goal of his research is to create tools that make it easier to create pictures, video, animation, and virtual environments; and to make these visual artifacts more interesting, entertaining, and informative. His current focus is on tools for character animation and for the automatic production of video. Prior to joining the university, Prof. Gleicher was a researcher at The Autodesk Vision Technology Center and at Apple Computer's Advanced Technology Group. He earned his Ph. D. in Computer Science from Carnegie Mellon University, and holds a B.S.E. in Electrical Engineering from Duke University.

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