Get 40% off select Statistics books or choose from thousands of Archive eBooks at 9.99 each!

Mathematics and Visualization

Imaging, Vision and Learning Based on Optimization and PDEs

IVLOPDE, Bergen, Norway, August 29 – September 2, 2016

Editors: Tai, Xue-Cheng, Bae, Egil, Lysaker, Marius (Eds.)

Free Preview

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-91274-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-319-91273-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs).

It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms.

This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.


Table of contents (11 chapters)

Table of contents (11 chapters)
  • Adaptive Regularization for Image Reconstruction from Subsampled Data

    Pages 3-26

    Hintermüller, Michael (et al.)

  • A Convergent Fixed-Point Proximity Algorithm Accelerated by FISTA for the ℓ0 Sparse Recovery Problem

    Pages 27-45

    Zeng, Xueying (et al.)

  • Sparse-Data Based 3D Surface Reconstruction for Cartoon and Map

    Pages 47-64

    Wu, Bin (et al.)

  • Variational Methods for Gamut Mapping in Cinema and Television

    Pages 67-100

    Zamir, Syed Waqas (et al.)

  • Functional Lifting for Variational Problems with Higher-Order Regularization

    Pages 101-120

    Loewenhauser, Benedikt (et al.)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-91274-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-319-91273-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Imaging, Vision and Learning Based on Optimization and PDEs
Book Subtitle
IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
Editors
  • Xue-Cheng Tai
  • Egil Bae
  • Marius Lysaker
Series Title
Mathematics and Visualization
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-91274-5
DOI
10.1007/978-3-319-91274-5
Hardcover ISBN
978-3-319-91273-8
Series ISSN
1612-3786
Edition Number
1
Number of Pages
VIII, 255
Number of Illustrations
28 b/w illustrations, 67 illustrations in colour
Topics