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Scale Space and Variational Methods in Computer Vision : Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 -- June 2, 2011, Revised Selected Papers / edited by Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 6667
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 6667
- Language:
- English
- Subjects (All):
- Computer vision.
- Computer graphics.
- Pattern recognition systems.
- Algorithms.
- Data mining.
- Computer science.
- Computer Vision.
- Computer Graphics.
- Automated Pattern Recognition.
- Data Mining and Knowledge Discovery.
- Theory of Computation.
- Local Subjects:
- Computer Vision.
- Computer Graphics.
- Automated Pattern Recognition.
- Algorithms.
- Data Mining and Knowledge Discovery.
- Theory of Computation.
- Physical Description:
- 1 online resource (XIV, 798 pages)
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-24785-9
- 9783642247859
- Access Restriction:
- Restricted for use by site license.
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