A comparative study of existing metrics for 3D-mesh segmentation evaluation

Halim Benhabiles (1) , Jean-Philippe Vandeborre (1, 2) , Guillaume Lavoué (3) , Mohamed Daoudi (1, 2)

1 LIFL - FOX MIIRE
2 Institut TELECOM/TELECOM Lille1
3 M2DisCo - Geometry Processing and Constrained Optimization

In this paper, we present an extensive experimental comparison of existing similarity metrics addressing the quality assessment problem of mesh seg- mentation. We introduce a new metric named the 3D Normalized Probabilistic Rand Index (3D-NPRI) which outperforms the others in terms of properties and discriminative power. This comparative study includes a subjective experiment with human observers and is based on a corpus of manually segmented models. This corpus is an improved version of our previous one. It is composed of a set of 3D-mesh models grouped in different classes associated with several manual ground-truth segmentations. Finally the 3D-NPRI is applied to evaluate six recent segmentation algorithms using our corpus and the Chen's et al. corpus.

Mots clés: 3D-mesh segmentation; ground-truth; similarity metric; subjective tests; evaluation

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Multimédia [cs.MM]

Halim Benhabiles, Jean-Philippe Vandeborre, Guillaume Lavoué, Mohamed Daoudi. A comparative study of existing metrics for 3D-mesh segmentation evaluation. The Visual Computer, 2010, 26 (12), pp.1451-1466. ⟨10.1007/s00371-010-0494-2⟩. ⟨hal-00660825⟩