Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
(CS 528)
The quest for controllable, high-fidelity models of human shape and motion
Zoran Popović, University of Washington
November 8, 2004, 4:15PM
TCSeq 200
http://graphics.stanford.edu/ba-colloquium/
Abstract
One of the key challenges in computer graphics is the development
of methods that create high-fidelity realism of shape and motion
for humans and other living creatures. Bottom-up approaches to
this problem try to develop detailed models of dynamics and
musculo-skeletal structure in order to synthesize realistic shape
and movement. Unfortunately, the underlying complexities of the
natural motion are too great and, to a large extent, still
unknown. In computer graphics, machine learning approaches tend
to capture detailed realistic nuances by using large data-sets.
Unfortunately, they often use overly simplified models, thus
providing little control to the synthesis process.
This talk will present an argument for combining real-world data
with the sophisticated models of natural systems to produce a
controllable high-fidelity shape and motion of humans from minimal
input data.
Specifically, I will describe a template-based model for
representation and exploration of the space of human shape, that
can produce realistic human shapes that meet specific parameters
such as height, weight, body fat, etc. Subsequently, I will
describe the reduced representation of the space of natural human
poses, that captures the style of an individual and can be
subsequently used to solve a wide range of inverse kinematics
problems. Finally, I will show how a momentum-based model of
human movement can be used to parameterize the dynamics of human
motion. I will demonstrate how this framework can be used for
real-time synthesis of a wide range of movement from a single
input motion capture sequence.
About the Speaker
Zoran Popović is an Associate Professor in computer science at
University of Washington. He received a ScB with Honors from Brown
University, and MS and PhD in Computer Science from Carnegie Mellon
University. He has held research positions at Sun Microsystems and
Justsystem Research Center and University of California at Berkeley.
Zoran's research interests lie in computer animation, primarily in
physically based modeling, high-fidelity human modeling, and control of
realistic natural motion. His contributions to the field of computer
graphics have been recently recognized by a number of awards including
the NSF CAREER Award, Alfred P. Sloan Fellowship and ACM SIGGRAPH
Significant New Researcher Award.
Contact: bac-coordinators@cs.stanford.edu
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