Overview
- Discusses recent advances and challenges in the design and the solution of global optimization methods applied in computer vision for fundamental problems such as stereo reconstruction, image restoration, and object segmentation
- Interdisciplinary set of authors, including researchers from mathematics and computer science
- The contributions in this volume reflect the state of the art in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8293)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 papers)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Efficient Algorithms for Global Optimization Methods in Computer Vision
Book Subtitle: International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers
Editors: Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-54774-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-642-54773-7Published: 21 May 2014
eBook ISBN: 978-3-642-54774-4Published: 01 April 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 175
Number of Illustrations: 128 b/w illustrations
Topics: Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Numeric Computing, Computer Science, general
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications