A framework for the objective evaluation of segmentation algorithms using a ground-truth of human segmented 3D-models

摘要：

In this paper, we present an evaluation method of 3D-mesh segmentation algorithms based on a ground-truth corpus. This corpus is composed of a set of 3D-models grouped in different classes (animals, furnitures, etc.) associated with several manual segmentations produced by human observers. We define a measure that quantifies the consistency between two segmentations of a 3D-model, whatever their granularity. Finally, we propose an objective quality score for the automatic evaluation of 3D-mesh segmentation algorithms based on these measures and on the ground-truth corpus. Thus the quality of segmentations obtained by automatic algorithms is evaluated in a quantitative way thanks to the quality score, and on an objective basis thanks to the groundtruth corpus. Our approach is illustrated through the evaluation of two recent 3D-mesh segmentation methods.

关键词： 3D-mesh segmentation evaluation ground-truth

作者: H.Benhabiles J-P.Vandeborre G.Lavoué M.Daoudi

作者单位: LIFL (UMR USTL/CNRS 8022), University of Lille, France LIFL (UMR USTL/CNRS 8022), University of Lille, France Institut TELECOM TELECOM Lille 1, France University of Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France

会议类型: 国际会议

会议名称: IEEE International Conference on Shape Modeling and Applications (SMI)(2009年形状建模国际会议)

会议地点: 北京

会议语种:英文

页码: 36-43

在线出版日期: 2009-06-26（万方平台首次上网日期，不代表论文的发表时间）