A Novel Quantitative Evaluation Metric of 3D Mesh Segmentation

被引：2

作者：

Sun, Xiao-peng ^{[1
]}

Wang, Lu ^{[1
]}

Wang, Xingyue ^{[1
]}

Zhao, Xiaona ^{[1
]}

机构：

[1] Liaoning Normal Univ, Inst Comp Syst, Dalian 116029, Peoples R China

来源：

UBIQUITOUS COMPUTING APPLICATION AND WIRELESS SENSOR | 2015年 / 331卷

关键词：

3D segmentation evaluation; Quantitative evaluation; Ultimate measurement accuracy; Misclassified error;

D O I：

10.1007/978-94-017-9618-7_64

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a novel quantitative metric for comparison of 3D mesh segmentations, Ultimate Measurement Accuracy, basing on the screening data sets, to support our quantitative comparisons of seven recently published mesh segmentation algorithms; and the experiment results suggest that, our metrics is robust to degenerative segmentation and hierarchical refinement, stable to the imprecision of cut boundaries.

引用

页码：621 / 628

页数：8

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