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Image of Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Computer Vision: Algorithms and Applications (Texts in Computer Science)

Richard Szeliski - Personal Name;

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/.


Availability
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Location name is not set Location name is not set
14210
Available
Detail Information
Series Title
-
Call Number
6.37
Publisher
Islamabad : Al Hafiz Traders., 2010
Collation
832
Language
English
ISBN/ISSN
978-1848829343
Classification
6.37
Content Type
-
Media Type
-
Carrier Type
-
Edition
1st
Subject(s)
Computer Science Data Science
1. Computer Science 2. Software Engineering 3. Dat
Data Science Information Technology
Specific Detail Info
-
Statement of Responsibility
Richard Szeliski
Other version/related

No other version available

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