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Energy Minimization Methods in Computer Vision and Pattern Recognition
. Ed(S): Tai, Xue-Cheng; Bae, Egil; Chan, Tony F.; Lysaker, Marius
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Description for Energy Minimization Methods in Computer Vision and Pattern Recognition
Paperback. Editor(s): Tai, Xue-Cheng; Bae, Egil; Chan, Tony F.; Lysaker, Marius. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 516 pages. BIC Classification: UMB; UNF; UYD; UYQP; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 26. Weight in Grams: 783.
This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
516
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
506
Place of Publication
Cham, Switzerland
ISBN
9783319146119
SKU
V9783319146119
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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