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Springer Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective: 0 (Advances in Computer Vision and Pattern Recognition)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 March 2011
Listed Since
29 November 2010

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No barcode data available

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