DocumentCode :
3348496
Title :
A mesh simplification algorithm for keeping local features with mesh segmentation
Author :
Yang Zhen-yu ; Xu Shao-wen ; Wu Wei-yong
Author_Institution :
Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
5487
Lastpage :
5490
Abstract :
How to keep local features of the mesh and adaptive simplification becomes the research hotspot. This paper proposes a mesh segmentation algorithm and an adaptive mesh simplification algorithm, based on quadric error metric of Garland, that can keep the triangle grid local features effectively. The algorithm introduces vertex slope as the weighted value of the basic quadric error metric. Experimental results indicate that the algorithm, not only inherits higher speed and quality of the quadric error metric algorithm, but also overcomes the shortcoming of uniform grid.
Keywords :
feature extraction; image segmentation; mesh generation; Garland metric; local features; mesh segmentation; mesh simplification algorithm; quadric error metric; Computer errors; Computer graphics; Horses; Information science; Military aircraft; Read-write memory; Mesh Segmentation; edge collapse; local feature; mesh simplification; vertex slope;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5535562
Filename :
5535562
Link To Document :
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