A benchmark for 3D mesh segmentation

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…

• NS
  National Science Foundation

  Award: CNFS-0406415IIS-0612231CCF-0702672
• DO
  Division of Computing and Communication Foundations

  Award: CNFS-0406415IIS-0612231CCF-0702672
• DO
  Division of Information and Intelligent Systems

  Award: CNFS-0406415IIS-0612231CCF-0702672