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商品詳細
Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective. 2011 ed.
・ISBN 978-1-4471-2645-4 paper EUR 99.99
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お気に入り
★★★
| 著者・編者 | Chowdhury, Ananda S. / Bhandarkar, Suchendra M., |
|---|---|
| シリーズ | (Advances in Computer Vision and Pattern Recognition) |
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2013 |
| ページ数 | 166 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-56775＞ |
解説
This unique text/reference discusses in depth the two integral components of reconstructive surgery; fracture detection, and reconstruction from broken bone fragments. In addition to supporting its application-oriented viewpoint with detailed coverage of theoretical issues, the work incorporates useful algorithms and relevant concepts from both graph theory and statistics. Topics and features: presents practical solutions for virtual craniofacial reconstruction and computer-aided fracture detection; discusses issues of image registration, object reconstruction, combinatorial pattern matching, and detection of salient points and regions in an image; investigates the concepts of maximum-weight graph matching, maximum-cardinality minimum-weight matching for a bipartite graph, determination of minimum cut in a flow network, and construction of automorphs of a cycle graph; examines the techniques of Markov random fields, hierarchical Bayesian restoration, Gibbs sampling, and Bayesian inference.