ACM SIGGRAPH 1996 Proceedings, 99-108.
Efficient, lossless, continuous-resolution representation of surface triangulations.
Highly detailed geometric models are rapidly becoming commonplace in computer graphics. These models,
often represented as complex triangle meshes, challenge rendering performance, transmission bandwidth, and
storage capacities. This paper introduces the progressive mesh (PM) representation, a new scheme
for storing and transmitting arbitrary triangle meshes. This efficient, lossless, continuous-resolution
representation addresses several practical problems in graphics: smooth geomorphing of level-of-detail
approximations, progressive transmission, mesh compression, and selective refinement.
we present a new mesh simplification procedure for constructing a PM representation from an arbitrary mesh.
The goal of this optimization procedure is to preserve not just the geometry of the original mesh, but more
importantly its overall appearance as defined by its discrete and scalar appearance attributes such as
material identifiers, color values, normals, and texture coordinates. We demonstrate construction of the
PM representation and its applications using several practical models.
More recent papers describe faster simplification criteria, such as the
quadric error metric
scheme of Garland and
the memoryless scheme
of Lindstrom and Turk,
and my improved quadric error metric
But, the first 4 pages are still excellent. The paper should have made it more obvious that a geomorph can
directly transition between any two PM meshes by simultaneously moving many vertices.
ACM Copyright Notice
Copyright by the Association for Computing Machinery, Inc. Permission to make digital or
hard copies of part or all of this work for personal or classroom use is granted without fee provided that
copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the
full citation on the first page. Copyrights for components of this work owned by others than ACM must be
honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to
redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications
Dept, ACM Inc., fax +1 (212) 869-0481, or firstname.lastname@example.org. The definitive version of this paper can be
found at ACM's Digital Library http://www.acm.org/dl/.