3/03/2011

Computer Vision: Algorithms and Applications - PDF

Computer Vision: Algorithms and ApplicationsBook Description
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.

Book Details

  • Hardcover: 812 pages
  • Publisher: Springer (November, 2010)
  • Language: English
  • ISBN-10: 1848829345
  • ISBN-13: 978-1848829343
  • File Size: 20.5 MiB
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