Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10302)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): SSVM: International Conference on Scale Space and Variational Methods in Computer Vision
Conference proceedings info: SSVM 2017.
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Table of contents (55 papers)
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Front Matter
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Scale Space and PDE Methods
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Front Matter
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Restoration and Reconstruction
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Front Matter
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About this book
Keywords
- Image analysis
- Computer vision
- PDE
- Scale space
- Variational methods
- Optimization
- Segmentation
- Tomography
- Registration
- Optical flow
- 3D vision
- algorithm analysis and problem complexity
Editors and Affiliations
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University of Copenhagen , Copenhagen, Denmark
François Lauze
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Technical University of Denmark , Kongens Lyngby, Denmark
Yiqiu Dong, Anders Bjorholm Dahl
Bibliographic Information
Book Title: Scale Space and Variational Methods in Computer Vision
Book Subtitle: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings
Editors: François Lauze, Yiqiu Dong, Anders Bjorholm Dahl
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-58771-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-58770-7Published: 18 May 2017
eBook ISBN: 978-3-319-58771-4Published: 16 May 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 708
Number of Illustrations: 244 b/w illustrations
Topics: Image Processing and Computer Vision, Computer Graphics, Pattern Recognition, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Computation by Abstract Devices