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Tuesday, 9 September 2014

Computer Vision: Algorithms and Applications


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.

Title Computer Vision: Algorithms and Applications
Author(s) Richard Szeliski
Publisher: Springer; 1st Edition. edition (October 1, 2010)
Hardcover 979 pages
Language: English
ISBN-10: 1848829345
ISBN-13:978-1848829343
eBook: http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf

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