Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5567)
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 2009.
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About this book
This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision. Topics covered in the book range from mathematical analysis of both established and new models, fast numerical methods, image analysis, segmentation, registration, surface and shape construction and processing, to real applications in medical imaging and computer vision. The ideas of scale spaceandvariationalmethodsrelatedtopartialdi?erentialequationsarecentral concepts. The papers re?ect the newest developments in these ?elds and also point to the latest literature. All the papers were submitted to the Second International Conference on Scale Space and Variational Methods in Computer Vision, which took place in Voss, Norway, during June 1–5, 2009. The papers underwent a peer review process similar to that of high-level journals in the ?eld. We thank the authors, the Scienti?c Committee, the Program Committee and the reviewers for their hard work and helpful collaboration. Their contribution has been crucial for the e?cient processing of this book, and for the success of the conference.
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Table of contents (71 papers)
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Front Matter
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Segmentation and Detection
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Scale Space and Variational Methods in Computer Vision
Editors and Affiliations
Bibliographic Information
Book Title: Scale Space and Variational Methods in Computer Vision
Book Subtitle: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
Editors: Xue-Cheng Tai, Knut Mørken, Marius Lysaker, Knut-Andreas Lie
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-02256-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-02255-5Published: 25 May 2009
eBook ISBN: 978-3-642-02256-2Published: 24 May 2009
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 870
Topics: Image Processing and Computer Vision, Programming Techniques, Data Mining and Knowledge Discovery, Computer Graphics, Computer Imaging, Vision, Pattern Recognition and Graphics, Pattern Recognition