DocumentCode :
2059166
Title :
Surface Mesh Segmentation Using Local Geometry
Author :
Chuon, Chansophea ; Guha, Sumanta
Author_Institution :
Comput. Sci. & Inf. Manage., Asian Inst. of Technol., Pathumthani, Thailand
fYear :
2009
fDate :
11-14 Aug. 2009
Firstpage :
250
Lastpage :
254
Abstract :
We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular, we begin with a novel characterization of vertices as convex, concave or hyperbolic based upon their discrete local geometry. Hyperbolic and concave vertices are considered potential feature region boundaries. We propose a new region growing technique starting from these boundary vertices leading to a segmentation of the surface that is subsequently simplified by a region-merging method. Experiments indicate that our algorithm segments a broad range of 3D models at a quality comparable to existing algorithms. Its use of methods that belong naturally to discretized surfaces and ease of implementation make it an appealing alternative in various applications.
Keywords :
computational geometry; image segmentation; mesh generation; solid modelling; 3D models; 3D surface mesh segmentation; boundary vertices; concave vertices; convex vertices; discretized surfaces; hyperbolic vertices; local geometry; region growing technique; region-merging method; Application software; Computational geometry; Computer graphics; Computer science; Data mining; Image segmentation; Information geometry; Information management; Merging; Visualization; Feature extraction; hyperbolic vertex; local geometry; mesh segmentation; region growing; region merging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3789-4
Type :
conf
DOI :
10.1109/CGIV.2009.15
Filename :
5298883
Link To Document :
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