Normal view MARC view ISBD view

Scale Space and Variational Methods in Computer Vision [electronic resource] : 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.

Contributor(s): Bruckstein, Alfred M [editor.] | ter Haar Romeny, Bart M [editor.] | Bronstein, Alexander M [editor.] | Bronstein, Michael M [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 6667Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: XIV, 798 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642247859.Subject(s): Computer vision | Computer graphics | Pattern recognition systems | Algorithms | Data mining | Computer science | Computer Vision | Computer Graphics | Automated Pattern Recognition | Algorithms | Data Mining and Knowledge Discovery | Theory of ComputationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.