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Cited by 2,817

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Progressive meshes

Open access
Hoppe, Hugues·1996·Proceedings of the 23rd annual conference on Computer graphics and interactive techniques

Abstract

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.In addition, 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.

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Metadata

Authors
Hoppe, H.
Venue
Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Publisher
ACM
Published
1996-08
Pages
99-108
OpenAlex
W2293404936
Cited by
2,817
References
0
FWCI
57.66
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Progressive meshes. https://app.cochat.ai/papers/10.1145/237170.237216
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Hoppe, H. (1996). Progressive meshes. Proceedings of the 23rd annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/237170.237216

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.