A benchmark for 3D mesh segmentation

Xiaobai Chen, Aleksey Golovinskiy, Thomas Funkhouser

Research output: Contribution to journalConference articlepeer-review

589 Scopus citations


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.

Original languageEnglish (US)
Article number73
JournalACM Transactions on Graphics
Issue number3
StatePublished - Jul 27 2009
EventACM SIGGRAPH 2009, SIGGRAPH '09 - New Orleans, LA, United States
Duration: Aug 3 2009Aug 7 2009

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design


  • 3D mesh analysis
  • 3D mesh segmentation

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