View-dependent refinement of progressive meshes
(From Hugues Hoppe's publications)
ACM SIGGRAPH 1997 Conference Proceedings, 189-198.
paper talk teapot movie video data errata
Abstract:
Level-of-detail (LOD) representations are an important tool for real-time rendering of complex geometric
environments. The previously introduced progressive mesh representation defines for an arbitrary
triangle mesh a sequence of approximating meshes optimized for view-independent LOD. In this paper, we
introduce a framework for selectively refining an arbitrary progressive mesh according to changing view
parameters. We define efficient refinement criteria based on the view frustum, surface orientation, and
screen-space geometric error, and develop a real-time algorithm for incrementally refining and coarsening
the mesh according to these criteria. The algorithm exploits view coherence, supports frame rate
regulation, and is found to require less than 15% of total frame time on a graphics workstation. Moreover,
for continuous motions this work can be amortized over consecutive frames. In addition, smooth visual
transitions (geomorphs) can be constructed between any two selectively refined meshes.
A number of
previous schemes create view-dependent LOD meshes for height fields (e.g. terrains) and parametric surfaces
(e.g. NURBS). Our framework also performs well for these special cases. Notably, the absence of a rigid
subdivision structure allows more accurate approximations than with existing schemes. We include results
for these cases as well as for general meshes.
Hindsight: Further enhancements on this approach are presented in my Visualization 1998 paper.
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 permissions@acm.org. The definitive version of this paper can be found at ACM's Digital Library http://www.acm.org/dl/.