Statistical mesh distributions for 3D object topology

Author

Qasaimeh, Malik ; Zhang, Ying ; Tarmissi, Khaled ; Hamza, A. Ben

Author_Institution

Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, QC

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

Abstract

In this paper we introduce several statistical distributions to analyze the topological properties of 3D graphics. The proposed statistical measures include the mesh degree, the mesh assortativity, the mesh clustering coefficient, and the mesh geodesic distance distributions. These probabilistic distributions provide useful information about the way 3D mesh models are connected. Illustrating experimental results show the effectiveness of the proposed measures in quantifying the topological features of 3D objects.

Keywords

computational geometry; computer graphics; graph theory; mesh generation; statistical distributions; topology; 3D graphics; 3D mesh model; 3D object topology; mesh assortativity; mesh clustering coefficient; mesh degree; mesh geodesic distance distribution; statistical measure; statistical mesh distribution; topological properties; Geometry; Graphics; Humans; Information analysis; Level measurement; Solid modeling; Statistical analysis; Statistical distributions; Topology; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-0778-1

Electronic_ISBN

978-1-4244-1779-8

Type

conf

DOI

10.1109/ISSPA.2007.4555289

Filename

4555289