This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real ...
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This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. * Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry * A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking * More than 70 algorithms are described in sufficient detail to implement * More than 350 full-color illustrations amplify the text * The treatment is self-contained, including all of the background mathematics * Additional resources at ...
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Add this copy of Computer Vision: Models, Learning, and Inference to cart. $29.87, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2012 by Cambridge University Press.
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Add this copy of Computer Vision to cart. $29.87, fair condition, Sold by Goodwill of Orange County rated 5.0 out of 5 stars, ships from Santa Ana, CA, UNITED STATES, published 2012 by Cambridge University Press.
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Fair. This is a USED book, it is subject to external and interior wear including, underlining, highlighting, annotations, water damage, minor scuffs and tears. This is a donated book accepted as is. Stickers and sticker residue on the cover should be expected, as well as spine wear from use. There are NO codes or disc(s) included. All items ship Monday-Friday within 2-3 business days. Thank you for supporting Goodwill of OC.
Add this copy of Computer Vision: Models, Learning, and Inference to cart. $31.34, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2012 by Cambridge University Press.
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Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Add this copy of Computer Vision: Models, Learning, and Inference to cart. $55.00, very good condition, Sold by Book Dispensary rated 5.0 out of 5 stars, ships from Niagara Falls, NY, UNITED STATES, published 2012 by Cambridge University Press.
Add this copy of Computer Vision: Models, Learning, and Inference to cart. $80.00, good condition, Sold by Moe's Books rated 5.0 out of 5 stars, ships from Berkeley, CA, UNITED STATES, published 2012 by Cambridge University Press.
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Good. No jacket. Cover is worn and rubbed, not affecting legibility of text. Sticker from previous seller on back cover, obscuring some text and affecting legibility. Spine is shaken and cracked, but binding is secure. Inside is clean and unmarked.
Add this copy of Computer Vision: Models, Learning, and Inference to cart. $82.86, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2012 by Cambridge University Press.
