Computer Vision-Guided Virtual Craniofacial Surgery

A Graph-Theoretic and Statistical Perspective

Häftad, Engelska, 2013

Av Ananda S. Chowdhury, Suchendra M. Bhandarkar

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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.

Produktinformation

  • Utgivningsdatum2013-04-21
  • Mått155 x 235 x 11 mm
  • Vikt300 g
  • FormatHäftad
  • SpråkEngelska
  • SerieAdvances in Computer Vision and Pattern Recognition
  • Antal sidor166
  • Upplaga2011
  • FörlagSpringer London Ltd
  • ISBN9781447126454

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