Semantic Models of Shape

Conventional representations of shape (splines, meshes, etc.) provide general modeling controls without differentiating between real and meaningless outcomes. This burdens human operators and computational techniques with the task of searching through a vast and cluttered design space. Semantic representations clear up the clutter by attaching human understanding to computational representations of shape and motion.

Speaker Bio

Jovan Popović is an Associate Professor in the Department of Electrical Engineering and Computer Science, and a member of the Computer Graphics Group in the Computer Science and Artificial Intelligence Laboratory, at the Massachusetts Institute of Technology. Before arriving at MIT in the 2001, Jovan Popović received his Ph.D. in Computer Science from Carnegie Mellon University and his B.S. degrees in Mathematics and Computer Science from Oregon State University. His research employs computer science, mathematics and physics to explore the applications of geometric modeling and computer animation to the fields of computer graphics, human-computer interaction, biomechanics, robotics, and computational design.