000			02680nam a22002417a 4500
008			190503b2011 xxu||||| |||| 00| 0 eng d
020			_a9781848829343
082			_a006.37 SZE-R
100			_aSzeliski, Richard
245			_aComputer Vision : _balgorithms and applications / _cRichard Szeliski
260			_aNew York _bSpringer _c2011
300			_a812 p.
365			_aUSA _b74.95.
440			_aTexts in computer science
500			_aComputer 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.
650			_aComputer vision
650			_aImage processing
650			_aComputer algorithms
650			_aImage processing--Mathematics
650			_aComputer science
700			_aGries, David., ed.
700			_aSchneider, Fred B., ed.
999			_c39963 _d39963