Authors:
- The only book to treat the problem of virtual reconstructive craniofacial surgery from a combinatorial and algorithmic perspective
- Provides a survey of the applications of computer vision and pattern recognition to virtual surgery
- Contains an extensive treatment of the problems of fracture detection and virtual reconstruction
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (9 chapters)
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Front Matter
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Overview and Foundations
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Front Matter
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Virtual Craniofacial Reconstruction
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Front Matter
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Computer-Aided Fracture Detection
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Front Matter
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Concluding Remarks
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“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)Authors and Affiliations
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Dept. Electronics & Telecom. Engineering, Jadavpur University, Kolkata, India
Ananda S. Chowdhury
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Department of Computer Science, University of Georgia, Athens, USA
Suchendra M. Bhandarkar
Bibliographic Information
Book Title: Computer Vision-Guided Virtual Craniofacial Surgery
Book Subtitle: A Graph-Theoretic and Statistical Perspective
Authors: Ananda S. Chowdhury, Suchendra M. Bhandarkar
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-0-85729-296-4
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-295-7Published: 28 March 2011
Softcover ISBN: 978-1-4471-2645-4Published: 21 April 2013
eBook ISBN: 978-0-85729-296-4Published: 19 March 2011
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XXVI, 166
Topics: Pattern Recognition, Imaging / Radiology