Dear all,
The next IPPN Imaging webinar will take place this Friday June 22th at 15:00 (CEST).
The 6th presenter is Ian Stavness, University of Saskatchewan. Moderator: Daniel Pflugfelder
Title: Deep Learning Approaches for Image Segmentation and Object Counting in Plant Phenotyping
The topic is linked to the upcoming deadline for the CVPPP 2018 call for abstracts: https://www.plant-phenotyping.org/CVPPP2018
Join the meeting online this Friday at: join.me/plant-phenotyping<https://join.me/plant-phenotyping> at 15.00 CEST.
Check when the webinar is held in your time zone: https://join.me/timezone/1529672400000/1529676000000
Conference ID: 536-399-875 #
Presenter:
Ian Stavness, PhD
Associate Professor
Computer Science
University of Saskatchewan
http://www.cs.usask.ca/faculty/stavness/
Bio:
Dr. Ian Stavness is an Associate Professor in Computer Science at the University of Saskatchewan. He leads the image and data analysis group for the Plant Phenotyping and Imaging Research Centre (P2IRC) at the University of Saskatchewan. He also directs the Biomedical Imaging & Graphics (BIG) lab focused on 3D modeling, image analysis and deep learning for biological and biomedical applications. Ian is an OpenSim Fellow in neuro-musculoskeletal modeling and simulation and its translation to rehabilitation medicine. He completed a post-doc at Stanford University with Scott Delp at the NIH Center for Biomedical Computation and his PhD on 3D biomechanical simulation at the University of British Columbia in 2011.
Abstract: Image-based plant phenotyping is being rapidly adopted in plant physiology and plant breeding research. Extracting phenotypic information from images of plants and crops remains a core challenge for the field. Deep learning approaches have shown promising initial results for meeting the challenge, particularly for outdoor images of plant and crops that are captured under highly variable conditions in terms of lighting, wind, and ground background. In this talk, I will present our submission to the 2017 CVPPP Leaf Counting Competition that involved convolutional neural networks for segmenting plant from background and for counting the number of leaves on rosettes. I will also discuss recent work applying similar techniques to outdoor images of crops.
More info about the IPPN - Imaging working group here: https://www.plant-phenotyping.org/ippn_wg_imaging
Enjoy this webinar,
The IPPN Imaging steering committee:
Co-Chair: Tony Pridmore, University of Nottingham, UK - https://www.nottingham.ac.uk/computerscience/people/tony.pridmore
Co-Chair: Hanno Scharr, IBG-2, Forschungszentrum Jülich, Germany - http://www.fz-juelich.de/ibg/ibg-2/DE/Mitarbeiter/_et/Scharr_Hanno/Scharr.html
Rick van de Zedde, Wageningen UR, The Netherlands - https://www.wageningenur.nl/en/Persons/drs.-HJ-Rick-van-de-Zedde.htm
Sotirios Tsaftaris, University of Edinburgh, UK- https://www.eng.ed.ac.uk/about/people/dr-sotirios-tsaftaris
Scott Chapman, CSIRO, Australia
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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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