[visionlist] Extended deadline : Special Issue Call for Papers on Advances on Discrete Geometry and Mathematical Morphology for Computer Vision hosted by Mathematical morphology - theory and applications

Jean Cousty jean.cousty at esiee.fr
Mon Feb 27 08:39:34 EST 2017


Please find below the call for paper with new submission deadline: May, 
1st, 2017.

We apology for multiple forwards.

----------------------------------------------
Special Issue Call for Papers on

Advances on Discrete Geometry and Mathematical Morphology for Computer 
Vision,

hosted by : Mathematical morphology - theory and applications (De Gruyter)
----------------------------------------------

Following the workshop on Discrete Geometry and Mathematical Morphology 
for Computer Vision (DGMM4CV) that was held on November 24th, 2016, a 
special issue will be edited.

The DGMM4CV workshop was firstly organized as a scientific event in 
order to light up and share common digital and discrete methodologies in 
the fields of mathematical morphology, discrete geometry and computer 
vision. The aim of this special issue is to move this action further by 
presenting new advances in the fields of mathematical morphology and 
discrete geometry leading to both theoretical developments and novel 
applications for computer vision (see main topics at the end of the cfp).

Although submissions from participants and attendees of the DGMM4CV 
workshop are particularly encouraged, this is an open call inviting 
papers from anybody working on the fields. Please refer to the journal 
website for detailed instructions on paper submission:
https://www.degruyter.com/page/1305

Publication fee of all the accepted papers will be waived.

----------------------
    Important dates
----------------------
- Paper submission deadline: May, 1st, 2017
- First-round review: end of July, 2017
- Paper publication: beginning of 2018

----------
    Topics
----------
** Theory:
- Geometric descriptors
- Object digitization
- Geometric transformation
- Geometric motion analysis
- Graph-based method
- Markov random field
- Discrete and combinatorial optimization
- Connected operators
- Hierarchical analysis
- Discrete and computational topology
- Discrete calculus

** Applications:
- Low-level vision, image processing
- Denoising and filtering
- Segmentation and grouping
- Object detection
- Model fitting
- Point cloud processing
- Image registration
- Surface generation
- Motion segmentation
- Video segmentation
- Motion tracking
- Biomedical analysis
- Human action recognition
- Scene labeling and understanding
- Medical image processing
- Skeletonization

-------------------
    Guest editors
--------------------
Jean Cousty, Univ. Paris-Est - ESIEE Paris, France, jean.cousty at esiee.fr
Yukiko Kenmochi, Univ. Paris-Est - CNRS, France, yukiko.kenmochi at esiee.fr
Isabelle Sivignon, GIPSA-Lab - CNRS, France, 
isabelle.sivignon at gipsa-lab.grenoble-inp.fr
Akihiro Sugimoto, National Institute of Informatics, Japan, 
sugimoto at nii.ac.jp

---------------------------------------------


-- 
Jean Cousty
Bureau 5307
Département informatique et  télécommunications
ESIEE Paris, Cité Descartes BP 99, 93 162 Noisy-le-Grand cedex, France
+33 1 45 92 60 28




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