Computer Vision

Algorithms and Applications

  • Richard Szeliski

Part of the Texts in Computer Science book series (TCS)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Richard Szeliski
    Pages 1-25
  3. Richard Szeliski
    Pages 27-86
  4. Richard Szeliski
    Pages 87-180
  5. Richard Szeliski
    Pages 181-234
  6. Richard Szeliski
    Pages 235-271
  7. Richard Szeliski
    Pages 273-301
  8. Richard Szeliski
    Pages 303-334
  9. Richard Szeliski
    Pages 335-374
  10. Richard Szeliski
    Pages 375-408
  11. Richard Szeliski
    Pages 409-466
  12. Richard Szeliski
    Pages 467-503
  13. Richard Szeliski
    Pages 505-541
  14. Richard Szeliski
    Pages 543-573
  15. Richard Szeliski
    Pages 575-640
  16. Richard Szeliski
    Pages 641-643
  17. Back Matter
    Pages 691-812

About this book

Introduction

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques

Topics and features:

  • Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses
  • Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects
  • Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory
  • Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book
  • Supplies supplementary course material for students at the associated website, http://szeliski.org/Book/

Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Dr. Richard Szeliski has more than 25 years’ experience in computer vision research, most notably at Digital Equipment Corporation and Microsoft Research. This text draws on that experience, as well as on computer vision courses he has taught at the University of Washington and Stanford.

Authors and affiliations

  • Richard Szeliski
    • 1
  1. 1.Microsoft ResearchRedmondUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84882-935-0
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84882-934-3
  • Online ISBN 978-1-84882-935-0
  • Series Print ISSN 1868-0941
  • Series Online ISSN 1868-095X
  • About this book