Chair: Jules Bloomenthal
Fast Polygonal Simplification with Vertex-Cluster Trees
Model Simplification Using Directional Clustering
A new data structure and algorithm for fast computation of static levels of detail, using vertex clustering and allowing adaptive simplification based on various geometric and topological criteria.
Joshua D. Mittleman
IBM TJ Watson Research Center
A Wavelet-Based Multiresolution Polyhedral Object Representation
Enhancement of model simplification with a non-topographic metric and a directional clustering algorithm that uses both geometry compression and real-time, animation-dependent calculation.
A.T. Campbell, III
Donald S. Fussell
University of Texas at Austin
Intelligent Transmission of 3D Polygonal Models
Wavelet compression of a volumetric representation of polyhedral surfaces, which are represented by the zero set of a distance function.
Massachusetts Institute of Technology
A framework offering improved Level of Detail handling in VRML. Models are decomposed into fragments, which are transmitted and rendered as required to meet user-specified resolution requirements.
Peter J.C. Brown
University of Cambridge