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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jiang, Wei Dang, Gang Xu, Kai Martin, Ralph R. Cheng, Zhi-Quan |
| Abstract | In this paper, we propose a practical algorithm for extracting curve skeletons from a 3D shape represented by a triangular mesh. We first construct an initial skeleton graph by copying the connectivity and geometry information from the input mesh. We then perform iterative skeletonization over the nodes of the skeleton graph using coupled processes of graph contraction and surface clustering. In the contraction step, the skeleton graph is simplified and regularized with surface clustering: mesh vertices are clustered, while the positions of nodes in the skeleton graph are updated at the same time. Eventually, the skeleton graph is automatically simplified to an approximately-centered curve skeleton. Our algorithm naturally produces a skeleton-to-surface mapping, making the output skeletons directly applicable to skinning deformation. |
| Starting Page | 178 |
| Ending Page | 185 |
| Page Count | 8 |
| ISBN | 9783642342622 |
| ISSN | 03029743 |
| DOI | 10.1007/978-3-642-34263-9_23 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-11-08 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | Curve skeleton extraction Clustering Graph contraction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computer Science |
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