Visual salience-guided mesh decomposition

Hsueh Yi Sean Lin*, Hong Yuan Mark Liao, Chih_Ching Lin


研究成果: Review article同行評審

33 引文 斯高帕斯(Scopus)


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 (3-D) mesh decomposition process in such a way that the significant components can be precisely identified and efficiently extracted from a given 3-D 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 3-D mesh into its significant components.

頁(從 - 到)46-56
期刊IEEE Transactions on Multimedia
出版狀態Published - 1 1月 2007


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