Téléchargez le livre : Computer Vision-Guided Virtual Craniofacial Surgery

Computer Vision-Guided Virtual Craniofacial Surgery

A Graph-Theoretic and Statistical Perspective de

,

Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2011-03-19

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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.
Pages
166 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2011-03-19
Marque
Springer
EAN papier
9780857292957
EAN EPUB
9780857292964
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
1495 Ko
Prix
94,94 €

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