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Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective by Ananda S. Chowdhury 9780857292957

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9780857292957
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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.

Book Information
ISBN 9780857292957
Author Ananda S. Chowdhury
Format Hardback
Page Count 166
Imprint Springer London Ltd
Publisher Springer London Ltd
Weight(grams) 1000g

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