書目名稱 | Computer Vision-Guided Virtual Craniofacial Surgery |
副標(biāo)題 | A Graph-Theoretic an |
編輯 | Ananda S. Chowdhury,Suchendra M. Bhandarkar |
視頻video | http://file.papertrans.cn/235/234323/234323.mp4 |
概述 | The only book to treat the problem of virtual reconstructive craniofacial surgery from a combinatorial and algorithmic perspective.Provides a survey of the applications of computer vision and pattern |
叢書名稱 | Advances in Computer Vision and Pattern Recognition |
圖書封面 |  |
描述 | 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. |
出版日期 | Book 2011 |
關(guān)鍵詞 | Bayesian Inference; Computed Tomography; Fracture Detection; Graph Automorphism; Graph Matching; Markov R |
版次 | 1 |
doi | https://doi.org/10.1007/978-0-85729-296-4 |
isbn_softcover | 978-1-4471-2645-4 |
isbn_ebook | 978-0-85729-296-4Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
issn_series | 2191-6586 |
copyright | Springer-Verlag London Limited 2011 |