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Computer Vision-Guided Virtual Craniofacial Surgery by Ananda S. Chowdhury
Computer Vision-Guided Virtual Craniofacial Surgery by Ananda S. Chowdhury
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Computer Vision-Guided Virtual Craniofacial Surgery

A Graph-Theoretic and Statistical Perspective
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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.
Release date NZ
April 21st, 2013
Audience
  • Professional & Vocational
Illustrations
XXVI, 166 p.
Pages
166
Dimensions
156x234x10
ISBN-13
9781447126454
Product ID
21342877

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