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

Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective (Advances in Computer Vision and Pattern Recognition)
Название:Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective (Advances in Computer Vision and Pattern Recognition)
Автор:Ananda S. Chowdhury, Suchendra M. Bhandarkar
Издательство:Springer
ISBN:0857292951
Дата издания:2011-03-29
Страниц:191
Язык:Английский
Формат:PDF
Размер: 3 MB

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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