Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2017) Call for Papers

 Call for Papers: 
 2017 Workshop on Computer  Vision Problems in Plant Phenotyping (CVPPP 2017)

October 28, 2017, Venice, Italy

 conjunction with ICCV 2017 ( )

* Submission due (full paper or abstract): June 28 (Wed)
* Notification of acceptance: Aug 10 (Thu) 
* Camera-ready (full papers only):Aug 24 (Thu)
* Workshop date: Oct 28 (Sat)

 Plant Phenotyping
After the successful CVPPP 2014 (at ECCV) and 2015 (BMVC), CVPPP
 returns at the year's major computer vision conference (ICCV) in
 2017. The goal of CVPPP is to showcase and address computer vision
 challenges in plant phenotyping. Plant phenotyping is the
 identification of effects on the phenotype (ie., plant appearance,
 structure and behavior) as a result of genotype differences (ie.,
 differences in the genetic code) and the environmental conditions a
 plant has been exposed to. Knowledge of plant phenotypes is a key
 ingredient of knowledge-based bioeconomy, which not only literally
 helps efforts to feed the world, but is also essential for feed,
 fibre and fuel production.

Unfortunately, without automated and accurate computer vision to
 extract the phenotypes, a bottleneck is encountered, hampering our
 understanding of plant biology.

Scope of the Workshop:
The overriding goal of CVPPP is to identify key but unsolved problems,
 expose the current state-of-the-art, and broaden the field and the
 community. Since plant phenotyping is an important aspect of
 agriculture and will support the sustainability of our planet and its
 inhabitants, having new vision scientists enter this field is more
 crucial than ever.

Specific topics of interest include, but are not limited to, the following:
* advances in segmentation, tracking, detection, reconstruction and
identification methods that address unsolved plant phenotyping

* open source implementation, comparison and discussion of existing
methods and annotation tools

* image data sets defining plant phenotyping challenges, complete with
annotations if appropriate, accompanied with benchmark methods if
possible, and suitable evaluation methods

Associated with the workshop will be related computer vision
 challenges (publicly available May 5 2017):
 We are looking forward to practical and inspiring computer vision
 solutions for images stemming from plant phenotyping applications
 from the broad CV community!

Further  Information and Submission Guidelines:
We welcome both full papers [will appear in the proceedings] and one
 page abstracts [will be in the program but will not appear in the
 proceedings].  Further information about the workshop, author
 instructions, submission guidelines, and the challenge are available

* Sotirios Tsaftaris (University of Edinburgh, UK)
* Hanno Scharr (Forschungszentrum Jülich, Germany)
* Tony Pridmore (University of Nottingham, UK)

 committee (tentative):
Andrew French, University of Nottingham, UK
Babette Dellen, University of Applied Sciences Koblenz, Germany
David Rousseau, Univ. of Lyon, France
Eren Aksoy, Karlsruher Institut für Technologie, Germany
Gerrit Polder, Wageningen, The Netherlands
Gert Kootstra, Wageningen, The Netherlands
Guillaume Lobet, Forschungszentrum Jülich, Germany
Gustavo Pereyra Irujo, CONICET, Argentina
Hannah Dee, Aberystwyth University, UK
Kobus Barnard, SISTA, The University of Arizona, USA
Marie Theiss, Forschungszentrum Jülich, Germany
Mark Müller-Linow, Forschungszentrum Jülich, Germany
Massimo Minervini, IMT Lucca, Italy
Pablo M. Granitto, CIFASIS, Argentina
Rick van de Zedde, Wageningen, The Netherlands
Stefan Paulus, LemnaTec, Germany
Stijn  Dhondt, Ghent University, Belgium
Tim  Brown, Australian National University, Australia
Toni  Kazic, University of Missouri, USA