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題名 | Principal Component Analysis-based Mesh Decomposition= |
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作者 | 張俊雄; 施純傑; 田筱榮; 方文賢; Chang, Jung-shiong; Shih, Arthur Chun-chieh; Tyan, Hsiao-rong; Fang, Wen-hsien; |
期刊 | Journal of Information Science and Engineering |
出版日期 | 20090700 |
卷期 | 25:4 2009.07[民98.07] |
頁次 | 頁971-987 |
分類號 | 312.1 |
語文 | eng |
關鍵詞 | Mesh decomposition; Boolean operation; PCA; Protrusion degree; 3-D object; |
英文摘要 | We propose an automatic mesh decomposition technique based on principal component analysis (PCA) and Boolean operations. First, we calculate the normalized protrusion degree of each dual vertex on a smoothed 3-D mesh. The protrusion degree of a vertex and the vertex’s 3-D coordinates form a 4-D feature vector, which we use to represent the polygon mesh. Then, we apply PCA to the set of 4-D feature vectors. The projected data along the first principal axis reveals the salient structures of the 3-D object. Therefore, by using the first component axis as the search basis, we can identify all the salient parts of an arbitrary 3-D object. |
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