@inproceedings{b87589239f3e4798acdf75e8ad468335,
title = "CEFM: A heuristic mesh segmentation method based on convexity estimation and fast marching",
abstract = "Mesh segmentation is a fundamental way of shape analysis and understanding for 3D mesh models. In this paper, we propose an effective heuristic mesh segmentation algorithm, which is based on concave areas detection and heuristic 2-category classification via fast marching. The algorithm has several merits. First, the boundary between each pair of segments is close to the natural seams of 3D objects. Second, it is robust against pose variations and isometric transformations. Finally, our algorithm decomposes non-rigid 3D models into a set of rigid components in a short period of time and the procedure is fully automatic. Extensive experiments in this paper demonstrate that the proposed method outperforms the state of the art in mesh segmentation.",
keywords = "Convexity, Fast marching, Local depth, Mesh segmentation, Shape descriptor",
author = "Jun Zhang and Zhouhui Lian and Zhenbao Liu and Jianguo Xiao",
note = "Publisher Copyright: Copyright {\textcopyright} 2015 SCITEPRESS - Science and Technology Publications. All rights reserved.; 10th International Conference on Computer Graphics Theory and Applications, GRAPP 2015 ; Conference date: 11-03-2015 Through 14-03-2015",
year = "2015",
doi = "10.5220/0005265801140121",
language = "英语",
series = "GRAPP 2015 - 10th International Conference on Computer Graphics Theory and Applications; VISIGRAPP, Proceedings",
publisher = "SciTePress",
pages = "114--121",
editor = "Jose Braz and Julien Pettre and Paul Richard",
booktitle = "GRAPP 2015 - 10th International Conference on Computer Graphics Theory and Applications; VISIGRAPP, Proceedings",
}