Monday, July 14

10:30 AM-12:30 PM
Building 300, Room 300

Multiresolution Geometry

The idea of multiresolution has proven to be extremely useful in many areas of signal processing and numerical analysis. Over the last few years many algorithms for building multiresolution approximations of complex 3D models have been proposed. Examples are subdivision, progressive meshes, fairing, mesh simplification, and wavelets. Typical applications are noise reduction, compression (VRML), interactive walk-through, modeling, and progressive transmission. This minisymposium features several state-of-the-art algorithms and applications.

Organizer: Wim Sweldens
Bell Laboratories, Lucent Technologies

10:30 Surface Simplification: Why and How
Paul Heckbert, Carnegie Mellon University
11:00 Static and Dynamic Simplifications for Polygonal Models
Amitabh Varshney, State University of New York, Stony Brook
11:30 Subdivision and Multiresolution Surface Representations
Denis Zorin, California Institute of Technology
12:00 Compressed Delta Surfaces
Gabriel Taubin, IBM T.J. Watson Research Center

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TMP, 4/4/97
MMD, 5/27/97 tjf, 5/27/97