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  <title>Computer Vision:</title>
  <subTitle>Algorithms and Applications (Texts in Computer Science)</subTitle>
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  <namePart>Richard Szeliski</namePart>
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   <placeTerm type="text">Islamabad</placeTerm>
   <publisher>Al Hafiz Traders</publisher>
   <dateIssued>2010</dateIssued>
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 <note>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.&#13;
&#13;
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.&#13;
&#13;
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/.</note>
 <note type="statement of responsibility">Richard Szeliski</note>
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  <topic>Computer Science Data Science</topic>
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  <topic>1. Computer Science 2. Software Engineering 3. Dat</topic>
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  <topic>Data Science Information Technology</topic>
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