DocumentCode :
863687
Title :
Visual Salience-Guided Mesh Decomposition
Author :
Lin, Hsueh-Yi Sean ; Liao, Hong-Yuan Mark ; Lin, Ja-Chen
Author_Institution :
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu
Volume :
9
Issue :
1
fYear :
2007
Firstpage :
46
Lastpage :
57
Abstract :
In this paper, we propose a novel mesh-decomposition scheme called "visual salience-guided mesh decomposition". The concept of "part salience", which originated in cognitive psychology, asserts that the salience of a part can be determined by (at least) three factors: the protrusion, the boundary strength, and the relative size of the part. We try to convert these conceptual rules into real computational processes, and use them to guide a three-dimensional (3D) mesh decomposition process in such a way that the significant components can be precisely identified and efficiently extracted from a given 3D mesh. The proposed decomposition scheme not only identifies the parts\´ boundaries defined by the minima rule, but also labels each part with a quantitative degree of visual salience during the mesh decomposition process. The experimental results show that the proposed scheme is indeed effective and powerful in decomposing a 3D mesh into its significant components
Keywords :
computational geometry; feature extraction; mesh generation; conceptual rule conversion; feature extraction; part salience; visual salience-guided 3D mesh decomposition; Animation; Clustering algorithms; Computer vision; Data mining; Humans; Image segmentation; Psychology; Radio control; Robust control; Shape control; Mesh decomposition; perceptual organization; visual salience;
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2006.886344
Filename :
4032614
Link To Document :
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