Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8932)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: EMMCVPR 2015.
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Table of contents (36 papers)
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Discrete and Continuous Optimization
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Image Restoration and Inpainting
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Segmentation
Other volumes
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Energy Minimization Methods in Computer Vision and Pattern Recognition
Keywords
- clustering algorithm
- computer vision
- convex optimization
- image processing
- iterative methods
- machine learning
- multi-view stereo
- numerical analysis
- optic disk
- optimization
- pattern recognition
- semantic image segmentation
- statistical methods
- total variation
- variational methods
- algorithm analysis and problem complexity
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Energy Minimization Methods in Computer Vision and Pattern Recognition
Book Subtitle: 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Editors: Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-14612-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-14611-9Published: 18 December 2014
eBook ISBN: 978-3-319-14612-6Published: 07 January 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 506
Number of Illustrations: 179 b/w illustrations
Topics: Pattern Recognition, Performance and Reliability, Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery