Evaluation of 3D Model Segmentation Techniques based on Animal Anatomy

被引：0

作者：

Hajari, Nasim ^{[1
]}

Cheng, Irene ^{[1
]}

Basu, Anup ^{[1
]}

Lavoue, Guillaume ^{[2
]}

机构：

[1] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2M7, Canada

[2] Univ Lyon, CNRS, Insa Lyon, LIRIS UMR 5205, Lyon, France

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) | 2013年

关键词：

3D segmentation; skeletonization; anatomy; MESH; VALIDATION;

D O I：

10.1109/SMC.2013.558

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

3D model decomposition is a challenging and important problem in computer graphics. Several semantically based approaches have been proposed in the literature; however, due to the lack of proper evaluation criteria, comparison of these techniques is almost impossible. In this paper we suggest to use animal anatomy as the ground truth and compare the result of different segmentation techniques based on that. Differing from previous approaches which perform the evaluation based on ground truth databases created subjectively by human observers, we consider expert knowledge on anatomy of various animals. Based on this knowledge we specify the ground truth for different animals and compare alternative algorithms.

引用

页码：3277 / 3281

页数：5

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