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Computer Vision: Algorithms and Applications
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  • Title: Computer Vision: Algorithms and Applications
  • Author(s) Richard Szeliski
  • Publisher: Springer; 2011th edition (October 19, 2010); eBook (Draft, September 3, 2010)
  • Permission: This electronic draft is for non-commercial personal use only, and may not be posted or re-distributed in any form.
  • Hardcover: 832 pages
  • eBook: PDF (979 pages, 22.1 MB)
  • Language: English, Chinese, and Japanese
  • ISBN-10: 1848829345
  • ISBN-13: 978-1848829343
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Book Description

As humans, we perceive the three-dimensional structure of the world around us 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 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 text/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting this process to produce the best possible descriptions of a scene. Exercises are presented throughout the book, with a heavy emphasis on testing algorithms.

Suitable for either an undergraduate or a graduate-level course in computer vision, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries.

About the Authors
  • Dr. Richard Szeliski has over twenty years' experience in computer vision research, most notably at Digital Equipment Corporation and Microsoft.

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