Meshes
Wednesday, 15 August
4:15 - 6 pm
Room 406

Session Chair
Gary Templet
Sandia National Laboratories


Dynamic Meshing Using Adaptively Sampled Distance Fields
Jackson Pope
MERL
201 Broadway Street, 8th Floor
Cambridge, Massachusetts 02139 USA
pope@merl.com

A new method of generating detail-directed, viewpoint-dependent, dynamic triangle meshes using adaptively sampled distance fields, which produces high-quality, low-triangle-count meshes.


Mapping Independent Triangulation of Parametric Surfaces
Marco Attene
IMA-CNR
Via De Marini 6
Torre Di Francia
Genova 16149 ITALY
attene@ima.ge.cnr.it

Triangulation in parametric space can produce poor and even inconsistent meshes. This sketch describes an almost regular triangulation using inverse mapping that describes local stretching and twisting of the surface.


Efficient Update of Geometric Constraints in the Tapestry Evolving Mesh Representation
Maryann Simmons
University of California, Berkeley
EECS, Computer Science Division
537 Soda Hall #1776
Berkeley, California 94720-1776 USA
simmons@cs.berkeley.edu

Using geometric constraints to provide an efficient and robust evolving mesh implementation as a basis for a fully dynamic tapestry display representation for interactive rendering.


Compressing Large Polygonal Models
Jeffrey Ho
Beckman Institute
University of Illinois at Urbana-Champaign
405 North Mathews Avenue
Urbana, Illinois 61801 USA
j-hol@dizzy.ai.uiuc.edu

Development and evaluation of methods for compressing large triangular meshes that are too complex to fit into main memory.