Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12679)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: SSVM 2021.
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Table of contents (45 papers)
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Scale Space and Partial Differential Equations Methods
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Flow, Motion and Registration
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Optimization Theory and Methods in Imaging
Other volumes
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Scale Space and Variational Methods in Computer Vision
Keywords
- communication systems
- computer networks
- computer vision
- correlation analysis
- image analysis
- image processing
- image quality
- image reconstruction
- image segmentation
- inverse problems
- machine learning
- mathematical imaging
- numerical methods
- optimization
- partial differential equations
- pattern recognition
- scale space
- scale-space
- signal processing
- variational methods
About this book
The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.
Editors and Affiliations
Bibliographic Information
Book Title: Scale Space and Variational Methods in Computer Vision
Book Subtitle: 8th International Conference, SSVM 2021, Virtual Event, May 16–20, 2021, Proceedings
Editors: Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-75549-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-75548-5Published: 30 April 2021
eBook ISBN: 978-3-030-75549-2Published: 29 April 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 580
Number of Illustrations: 36 b/w illustrations
Topics: Image Processing and Computer Vision, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences, Machine Learning, Mathematics of Computing, Pattern Recognition