Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2017) Call for Papers
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First
Call for Papers:
ICCV
2017 Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2017)
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October 28, 2017, Venice, Italy
Website:
http://www.plant-phenotyping.org/CVPPP2017
In
conjunction with ICCV 2017 ( http://iccv2015.thecvf.com )
Important
Dates:
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* 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)
Background:
Plant Phenotyping
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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:
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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
scenarios
* 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): http://www.plant-phenotyping.org/CVPPP2017-challenge
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:
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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
at: http://www.plant-phenotyping.org/CVPPP2017
Workshop
Organizers:
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* Sotirios Tsaftaris (University of Edinburgh, UK)
* Hanno Scharr (Forschungszentrum Jülich, Germany)
* Tony Pridmore (University of Nottingham, UK)
Program
committee (tentative):
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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