Computer Vision-Guided Virtual Craniofacial Surgery : A Graph-Theoretic and Statistical Perspective
2011
Online
E-Book
Zugriff:
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.
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Computer Vision-Guided Virtual Craniofacial Surgery : A Graph-Theoretic and Statistical Perspective
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Autor/in / Beteiligte Person: | Chowdhury, Ananda S. ; Bhandarkar, Suchendra M. |
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Veröffentlichung: | 2011 |
Medientyp: | E-Book |
ISBN: | 978-0-85729-295-7 (print) ; 978-1-4471-2645-4 (print) ; 978-0-85729-296-4 (electronic) |
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