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Cited by 1,303

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Mesh optimization

Open access
Hoppe, Hugues, DeRose, Tony, Duchamp, Tom, McDonald, John, Stuetzle, Werner·1993·Proceedings of the 20th annual conference on Computer graphics and interactive techniques

Abstract

We present a method for solving the following problem: Given a set of data points scattered in three dimensions and an initial triangular mesh M0, produce a mesh M, of the same topological type as M0, that fits the data well and has a small number of vertices.Our approach is to minimize an energy function that explicitly models the competing desires of conciseness of representation and fidelity to the data.We show that mesh optimization can be effectively used in at least two applications: surface reconstruction from unorganized points, and mesh simplification (the reduction of the number of vertices in an initially dense mesh of triangles).

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Crossref · 10.1145/166117.166119

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Metadata

Authors
Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., & Stuetzle, W.
Venue
Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Publisher
ACM
Published
1993-09
Pages
19-26
OpenAlex
W2913772345
Cited by
1,303
References
1
FWCI
16.71
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mesh optimization. https://app.cochat.ai/papers/10.1145/166117.166119
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Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., & Stuetzle, W. (1993). Mesh optimization. Proceedings of the 20th annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/166117.166119

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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.