[ut.ai] Seminar by Demetri Terzopoulos

armin@ai.toronto.edu (Armin Haken) (03/10/88)

There will be an AI Seminar in room GB244 at 11AM next Wednesday,
March 16, by Demetri Terzopoulos.

Please note the unusual time, and the fact that the room has been changed
to GB244.  The speaker is a candidate for a position here.  U of T is
competing with various other institutions for Dr. Terzopoulos, and we want
to make the best possible impression.  Part of that impression depends on
good attendance at the talk.



	   DEFORMABLE MODELS IN COMPUTER VISION AND GRAPHICS

			  Demetri Terzopoulos
		    Schlumberger Palo Alto Research

Vision and graphics are mutually converse disciplines; the former is
concerned with the analysis of images, the latter with their synthesis.
They pose similar problems at the object modeling level.  I shall
describe a physically-based approach to analyzing and synthesizing the
shapes and motions of nonrigid objects. Objects are modeled using
deformable curve, surface, and solid primitives, while constraints are
represented as dynamic forces applied to these primitives.  In the
context of graphics (the direct problem), realistic images of flexible
objects may be synthesized when the applied forces arise from the
interaction of deformable models with simulated physical environments.
With regard to vision (the inverse problem), deformable models may be
used to infer the shapes and motions of objects from their images.  Here
the forces are derived from natural image data and enforce image-based
constraints.  They actively shape and move models to achieve maximal
consistency with imaged objects of interest and to maintain the
consistency over time.  I will present results of applying deformable
models to image contour extraction, stereo and motion correspondence
matching, static 3D object reconstruction from monocular images, and the
recovery of 3D shape and nonrigid motion of objects from dynamic stereo
imagery. The video presentation will include computer animations of
deformable models reacting to a variety of simulated physical phenomena.

-- 
  || Armin Haken                                  armin@ai.toronto.edu ||
  || UofT DCS, Toronto, M5S-1A4                          (416)978-6277 ||