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Computer Vision-Guided Virtual Craniofacial Surgery pp 3–13Cite as

Introduction

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Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

This monograph is devoted to an in-depth exposition of the various issues that arise in virtual reconstructive craniofacial surgery and is written from a graph-theoretic and statistical perspective. We discuss some sophisticated techniques from computer vision, graph theory, and statistics and demonstrate how they can be employed to address the various challenging problems that arise in virtual reconstructive craniofacial surgery. The solutions presented here are quite general in their scope and applicability. Consequently, they can be easily applied to tackle similar problems that arise in related areas such as reconstructive orthopedic surgery and seemingly unrelated areas such as archeology, where ancient artifacts such as pottery need to be virtually reconstructed from unearthed broken pieces. This will be more evident in the discussion of the individual problems in the later chapters of the monograph. In this chapter, we first describe the anatomy of craniofacial fractures. Next, we discuss the state-of-the-art in the field of virtual reconstructive craniofacial surgery and highlight the importance of our contributions. We end this chapter by outlining the organization of this monograph.

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Author information

Authors and Affiliations

  1. Department of Electronics & Telecommunication Engineering, Jadavpur University, 188 Raja S.C. Malik Road, 700032, Kolkata, West Bengal, India

    Dr. Ananda S. Chowdhury

  2. Department of Computer Science, The University of Georgia, Boyd Graduate Studies Research Center, Room 415, 30602-7404, Athens, GA, USA

    Prof. Suchendra M. Bhandarkar

Authors
  1. Dr. Ananda S. Chowdhury
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  2. Prof. Suchendra M. Bhandarkar
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Correspondence to Ananda S. Chowdhury .

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© 2011 Springer-Verlag London Limited

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Chowdhury, A.S., Bhandarkar, S.M. (2011). Introduction. In: Computer Vision-Guided Virtual Craniofacial Surgery. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-296-4_1

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  • DOI: https://doi.org/10.1007/978-0-85729-296-4_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-295-7

  • Online ISBN: 978-0-85729-296-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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