DocumentCode :
482199
Title :
3D Mesh Skeleton Extraction Based on Feature Points
Author :
Gong, Faming ; Kang, Cui
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet. (East China), Dongying
Volume :
1
fYear :
2009
fDate :
22-24 Jan. 2009
Firstpage :
326
Lastpage :
329
Abstract :
A novel efficient skeleton extraction algorithm is proposed, which is based on feature points extraction and Reeb graph theories. Because of the topological facility of feature points, a model can be divided into several branches according to them. One feature point can present one branch. So we just extract the other point of the branch - that could be skeleton point, connect these points with their corresponding feature points, then we can get all branch skeletons. Finally, connecting branch skeletons through connecting skeleton points according the topological relationship of each skeleton point preserving, then 3D modelpsilas skeleton can be extracted.Without pre-processing stages and without input parameters, this algorithm can automatically extract the skeleton of 3D models. Theoretical analyses and experimental results show that our method has a lower computing complexity, and meets the requirement of extracting nice-looking and affine-invariant skeletons efficiently.
Keywords :
computational complexity; feature extraction; 3D mesh skeleton extraction; Reeb graph theories; affine-invariant skeletons; computing complexity; feature points extraction; Computer graphics; Educational institutions; Extremities; Feature extraction; Geophysics computing; Graph theory; Joining processes; Petroleum; Shape; Skeleton; skeleton; skeleton extraction; skeleton point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
Type :
conf
DOI :
10.1109/ICCET.2009.71
Filename :
4769481
Link To Document :
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