Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] : 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011, Proceedings / edited by Yuri Boykov, Fredrik Kahl, Victor Lempitsky, Frank R. Schmidt.
Contributor(s): Boykov, Yuri [editor.]
| Kahl, Fredrik [editor.] | Lempitsky, Victor [editor.] | Schmidt, Frank R [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 6819Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: 450 p. 158 illus., 120 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642230943.Subject(s): Pattern recognition systems | Computers | Computer vision | Algorithms | Image processing -- Digital techniques | Data mining | Automated Pattern Recognition | Hardware Performance and Reliability | Computer Vision | Algorithms | Computer Imaging, Vision, Pattern Recognition and Graphics | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July, 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continous optimzation, segmentation, motion and video, learning and shape analysis.
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This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July, 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continous optimzation, segmentation, motion and video, learning and shape analysis.
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