Region-based Objective Evaluation of Polygonal Mesh Segmentation Methods

In this paper, we propose a new region-based objective evaluation approach of polygonal mesh segmentation algorithms. This approach is derived from 2D-images segmentation similarity measures. We quantify an evaluation criterion relatively to each type of segmented mesh-regions, based on a mesh classification method into convex, concave and planar regions. We apply this approach on eight wellselected existing algorithms conducted by a heterogeneous ground-truth. We present and discuss the evaluation results of these techniques by taking into account the corresponding objects’ classes in every type of region. This provides better understanding as to the strengths and weaknesses of each technique in function of each mesh-regions type. That aims to make a better choice concerning the segmentation algorithms for different applications.