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[Plant-biology] CVPPP2017: Final Call for Papers--Deadline 28 June 2017

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Call for Papers
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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=92s major computer vision conference (ICCV) in 2017. The goal of =
CVPPP is to showcase and address computer vision challenges in plant phenot=
yping. Plant phenotyping is the identification of effects on the phenotype =
(ie., plant appearance, structure and behavior) as a result of genotype dif=
ferences (ie., differences in the genetic code) and the environmental condi=
tions a plant has been exposed to. Knowledge of plant phenotypes is a key i=
ngredient of knowledge-based bioeconomy, which not only literally helps eff=
orts to feed the world, but is also essential for feed, fibre and fuel prod=
uction.
Unfortunately, without automated and accurate computer vision to extract th=
e phenotypes, a bottleneck is encountered, hampering our understanding of p=
lant biology.

Scope of the Workshop:
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The overriding goal of CVPPP is to identify key but unsolved problems, expo=
se the current state-of-the-art, and broaden the field and the community. S=
ince plant phenotyping is an important aspect of agriculture and will suppo=
rt 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 identif=
ication 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 anno=
tations if appropriate, accompanied with benchmark methods if possible, and=
 suitable evaluation methods

Associated with the workshop will be related computer vision challenges (pu=
blicly 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 a=
bstracts [will be in the program but will not appear in the proceedings].
Further information about the workshop, author instructions, submission gui=
delines, and the challenge are available at:
http://www.plant-phenotyping.org/CVPPP2017




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Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
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