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The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

A benchmark for 3D mesh segmentation

Chen, Xiaobai, Golovinskiy, Aleksey, Funkhouser, Thomas·2009·ACM Transactions on Graphics

Abstract

This paper describes a benchmark for evaluation of 3D mesh segmentation salgorithms. The benchmark comprises a data set with 4,300 manually generated segmentations for 380 surface meshes of 19 different object categories, and it includes software for analyzing 11 geometric properties of segmentations and producing 4 quantitative metrics for comparison of segmentations. The paper investigates the design decisions made in building the benchmark, analyzes properties of human-generated and computer-generated segmentations, and provides quantitative comparisons of 7 recently published mesh segmentation algorithms. Our results suggest that people are remarkably consistent in the way that they segment most 3D surface meshes, that no one automatic segmentation algorithm is better than the others for all types of objects, and that algorithms based on non-local shape features seem to produce segmentations that most closely resemble ones made by humans.

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Metadata

Authors
Chen, X., Golovinskiy, A., & Funkhouser, T.
Venue
ACM Transactions on Graphics
Published
2009-07-27
Volume
28
Issue
3
Pages
1-12
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2050204708
Cited by
654
References
32
FWCI
43.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A benchmark for 3D mesh segmentation. https://app.cochat.ai/papers/10.1145/1531326.1531379
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Chen, X., Golovinskiy, A., & Funkhouser, T. (2009). A benchmark for 3D mesh segmentation. ACM Transactions on Graphics. https://doi.org/10.1145/1531326.1531379

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

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