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Energy Minimization Methods in Computer Vision and Pattern Recognition
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Description for Energy Minimization Methods in Computer Vision and Pattern Recognition
Paperback. Constitutes the proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007, held in Ezhou, China in August 2007. This work contains papers organized in topical sections on algorithms, applications, image parsing, image processing, shape and three-dimensional processing. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 512 pages, biography. BIC Classification: UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 26. Weight in Grams: 777.
This volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at the Lotus Hill Institute, Ezhou, Hubei, China, August 27–29, 2007. The motivation for this conference is the realization that many problems in computer vision and pattern recognition can be formulated in terms of probabilistic inference or optimization of energy functions. EMMCVPR 2007 addressed the critical issues of representation, learning, and inference. Important new themes include pr- abilistic grammars, image parsing, and the use of datasets with ground-truth to act as benchmarks for evaluating algorithms and ... Read more
This volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at the Lotus Hill Institute, Ezhou, Hubei, China, August 27–29, 2007. The motivation for this conference is the realization that many problems in computer vision and pattern recognition can be formulated in terms of probabilistic inference or optimization of energy functions. EMMCVPR 2007 addressed the critical issues of representation, learning, and inference. Important new themes include pr- abilistic grammars, image parsing, and the use of datasets with ground-truth to act as benchmarks for evaluating algorithms and ... Read more
Product Details
Format
Paperback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
512
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
500
Place of Publication
Berlin, Germany
ISBN
9783540741954
SKU
V9783540741954
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Ref
99-15
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