標題: | Visual salience-guided mesh decomposition |
作者: | Lin, Hsueh-Yi Sean Liao, Hong-Yuan Mark Lin, Ja-Chen 資訊工程學系 Department of Computer Science |
關鍵字: | mesh decomposition;perceptual organization;visual salience |
公開日期: | 1-一月-2007 |
摘要: | 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. |
URI: | http://dx.doi.org/10.1109/TMM.2006.886344 http://hdl.handle.net/11536/11249 |
ISSN: | 1520-9210 |
DOI: | 10.1109/TMM.2006.886344 |
期刊: | IEEE TRANSACTIONS ON MULTIMEDIA |
Volume: | 9 |
Issue: | 1 |
起始頁: | 46 |
結束頁: | 57 |
顯示於類別: | 期刊論文 |