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Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective
Suchendra M. Bhandarkar
(Author)
·
Ananda S. Chowdhury
(Author)
·
Springer
· Paperback
Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective - Chowdhury, Ananda S. ; Bhandarkar, Suchendra M.
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Synopsis "Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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