DocumentCode
1938128
Title
Mesh Segmentation - A Comparative Study
Author
Attene, M. ; Katz, S. ; Mortara, M. ; Patané, G. ; Spagnuolo, M. ; Tal, A.
Author_Institution
IMATI, CNR
fYear
2006
fDate
14-16 June 2006
Firstpage
7
Lastpage
7
Abstract
Mesh segmentation has become an important component in many applications in computer graphics. In the last several years, many algorithms have been proposed in this growing area, offering a diversity of methods and various evaluation criteria. This paper provides a comparative study of some of the latest algorithms and results, along several axes. We evaluate only algorithms whose code is available to us, and thus it is not a comprehensive study. Yet, it sheds some light on the vital properties of the methods and on the challenges that future algorithms should face
Keywords
computer graphics; image segmentation; mesh generation; computer graphics; mesh segmentation; Application software; Clustering algorithms; Computer graphics; Computer vision; Context modeling; Curve fitting; Diversity methods; Face detection; Shape; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Shape Modeling and Applications, 2006. SMI 2006. IEEE International Conference on
Conference_Location
Matsushima
Print_ISBN
0-7695-2591-1
Type
conf
DOI
10.1109/SMI.2006.24
Filename
1631191
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