10th June 2020, STEM Centre, University of Essex, Colchester
Call for abstracts now open. Email to firstname.lastname@example.org
Closing date for abstracts is 24th April 2020. Notification of acceptance is 11th May 2020.
3D imaging is increasingly being used in the context of crop imaging, driven in large part by the challenge of high throughput phenotyping (identification of effects on plant structure and function resulting from genotypic differences and environmental conditions). This workshop will focus upon the general challenge of feature extraction from 3D point clouds, bringing together those working on challenges of this type in different applications, including crop imaging. The workshop will provide the opportunity to discover together how cutting edge computer vision approaches find application in crop imaging.
Specific topics of interest include, but are not limited to, the following:
- generic methods for extraction of features from 3D point clouds including deep learning
- advances in segmentation, tracking, detection, reconstruction and identification methods for 3D point clouds which address unsolved plant phenotyping problems
- advances in feature extraction and related 3D imaging computer vision tasks which address challenges in other applications
- Dr Gert Kootstra (Wageningen University and Research) “3D digital plant phenotyping”
- Dr Nick Pears (University of York) “A tour of deep learning on 3D images”
In addition to the invited speakers, there will be contributed talks, and a poster session.
Further Information and Submission Guidelines:
Please send abstracts by the deadline to email@example.com , indicating at the time whether your preference is for an oral or poster presentation. Further information about the workshop is available at: https://www.phenomuk.net/event/feature-extraction-from-3d-point-cloud-workshop-june-10th-2020-stem-centre-university-of-essex/
We look forward to seeing you there!
Andrew Thompson (National Physical Laboratory, UK) Andrew.Thompson@npl.co.uk
Tony Pridmore (University of Nottingham, UK), Tony.Pridmore@nottingham.ac.uk