Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings / edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker.

Contributor(s):

Series: Lecture Notes in Computer Science ; 8932Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: X, 506 p. 179 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319146126

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

006.4 23

LOC classification:

Q337.5
TK7882.P3

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Click here to access online

Contents:

Discrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis.

In: Springer eBooksSummary: 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.

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eBooks

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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.