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

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9781447126454: Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective (Advances in Computer Vision and Pattern Recognition)
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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.

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Computer Vision-guided Virtual Craniofacial Surgery This unique text/reference discusses in depth the two integral components of reconstructive surgery; fracture detection, and reconstruction from broken bone fragments. It incorporates useful algorithms and relevant concepts from graph theory and statistics.

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“The goal of the research is to apply image processing techniques for the construction of a virtual human jaw. ... The monograph presents the underlying computational mathematics and algorithms and the results of the corresponding experiments. ... Readers with a normal understanding of the human anatomy can understand the book. ... It can be used as a textbook in graduate or higher-level image processing courses.” (Maulik A. Dave, ACM Computing Reviews, April, 2012)

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9780857292957: Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective (Advances in Computer Vision and Pattern Recognition)

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ISBN 10:  0857292951 ISBN 13:  9780857292957
Publisher: Springer, 2011
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Book Description Springer London Ltd, United Kingdom, 2013. Paperback. Condition: New. 2011 ed.. Language: English . Brand New Book. 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. Seller Inventory # KNV9781447126454

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Book Description Springer London Ltd, United Kingdom, 2013. Paperback. Condition: New. 2011 ed.. Language: English. Brand new Book. 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. Seller Inventory # LIE9781447126454

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Book Description Springer London Ltd, United Kingdom, 2013. Paperback. Condition: New. 2011 ed.. Language: English. Brand new Book. 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. Seller Inventory # KNV9781447126454

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Book Description Condition: New. Publisher/Verlag: Springer, Berlin | 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. It incorporates useful algorithms and relevant concepts from graph theory and statistics. | Part I: Overview and FoundationsIntroductionGraph-Theoretic FoundationsA Statistical PrimerPart II: Virtual Craniofacial ReconstructionVirtual Single-fracture Mandibular ReconstructionVirtual Multiple-fracture Mandibular ReconstructionPart III: Computer-aided Fracture DetectionFracture Detection using Bayesian InferenceFracture Detection in an MRF-based Hierarchical Bayesian FrameworkFracture Detection using Max-Flow Min-CutPart IV: Concluding RemarksGUI Design and Research Synopsis | Format: Paperback | Language/Sprache: english | 301 gr | 235x155x10 mm | 166 pp. Seller Inventory # K9781447126454

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Book Description Springer London Apr 2013, 2013. Taschenbuch. Condition: Neu. Neuware - 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. 192 pp. Englisch. Seller Inventory # 9781447126454

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