|NSF Report - Facial Expression Understanding| III-B. Computer
Vision and Face Processing Thomas S. Huang, Peter Burt, and
Kenji Mase Abstract. Computer vision deals with the problem of
scene analysis; more specifically the extraction of 3D
information about scenes/objects from 2D (possibly time-varying)
images obtained by sensors such as television cameras. Over the
years, many algorithms have been developed for determining 3D
shape, texture, and motion. In this session, some of the major
approaches are reviewed in light of applications to face
structure/motion analysis. Emphasis is on methods of estimating
3D rigid and nonrigid motion/structure from 2D image sequences.
Presenters: T. S. Huang, P. Burt, K. Mase In this brief
tutorial, we review computer vision with special emphasis on
face processing. From an engineering viewpoint, the goal of
computer vision is to build automated systems capable of
analyzing and understanding 3D and possibly time-varying scenes.
The input to such systems are typically two-d