Title :
Mesh Segmentation - A Comparative Study
Author :
Attene, M. ; Katz, S. ; Mortara, M. ; Patané, G. ; Spagnuolo, M. ; Tal, A.
Author_Institution :
IMATI, CNR
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;
Conference_Titel :
Shape Modeling and Applications, 2006. SMI 2006. IEEE International Conference on
Conference_Location :
Matsushima
Print_ISBN :
0-7695-2591-1
DOI :
10.1109/SMI.2006.24