SSVM: Scale Space and Variational Methods in Computer Vision

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
SSVM 2019 Seventh International Conference on Scale Space and Variational Methods in Computer Vision
Jun 30, 2019 - Jul 4, 2019 Hofgeismar, Germany Jan 11, 2019
SSVM 2017 6th Conference on Scale Space and Variational Methods in Computer Vision
Jun 4, 2017 - Jun 8, 2017 Kolding, Denmark Jan 6, 2017
SSVM 2015 Scale Space and Variational Methods in Computer Vision
May 31, 2015 - Jun 4, 2015 Bordeaux, France Dec 15, 2014
SSVM 2013 Scale Space and Variational Methods in Computer Vision
Jun 2, 2013 - Jun 6, 2013 Leibnitz, Austria Dec 17, 2012
 
 

Present CFP : 2019

**NOTE DEADLINE EXTENSION TO January 11, 2019**

Call for papers: Seventh International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019

We invite you to participate in the Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). The conference will be held in Hofgeismar, Germany, June 30 - July 4, 2019. The conference website can be found at

http://ssvm2019.mic.uni-luebeck.de/

About SSVM
SSVM is a biannual meeting within the area of Computer Vision and Image Analysis. SSVM focuses especially on multiscale analysis of image content, partial differential equations, geometric and level-set methods, variational methods, and optimization.
Contributions are in the form of full papers, 12 pages in Springer LNCS format including bibliography.

Conference topics include the following areas:
3D vision
Color enhancement
Compressed sensing
Convex and non-convex modeling
Cross-scale structure
Differential geometry and invariants
Image- and feature analysis
Imaging modalities
Implicit surfaces
Inpainting
Inverse problems in imaging
Level-set methods
Manifold-valued data processing
Mathematics of novel imaging methods
Medical imaging and other applications
Motion estimation and tracking
Multi-orientation analysis
Multi-scale shape analysis
Optical flow
Optimization methods in imaging
PDEs in image processing
Perceptual grouping
Registration
Restoration and reconstruction
Scale-space methods
Segmentation
Selection of salient scales
Shape from X
Stereo and multi-view reconstruction
Sub-Riemannian geometry
Surface modelling
Variational methods
Wavelets and image decomposition

Proceedings
Papers accepted for the conference will appear in the conference proceedings that will be published in Springer's Lecture Notes in Computer Science series. The proceedings will be available at the conference. Prospective authors are invited to submit a full-length twelve-page paper electronically via the SSVM'19 Paper Submission Web Page. All papers will undergo a double-blind peer-review procedure. At the conference the papers will be presented as posters or talks.

Best student paper award
The conference will award a best student paper prize. Eligible are submissions whose first author had not yet obtained their Master’s degree by January 1, 2018 (note corrected date).

Important dates
Paper submission: Friday, January 11, 2019, 23:59 CET
Notification of acceptance: Monday, February 25, 2019
Conference: June 30 - July 4, 2019

SSVM 2019
June 30 - July 4, 2019
Hofgeismar, Germany
http://ssvm2019.mic.uni-luebeck.de/
The SSVM'19 Organizing Committee,
Martin Burger, University of Muenster (WWU)
Jan Lellmann, University of Luebeck, MIC
Jan Modersitzki, University of Luebeck, MIC
 

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