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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.
| Autorius: | Suchendra M. Bhandarkar, Ananda S. Chowdhury, |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 192 |
| ISBN-10: | 1447126459 |
| ISBN-13: | 9781447126454 |
| Formatas: | 235 x 155 x 11 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective“
