Plant Feature Extraction from 3D Point Clouds Workshop

1st July 2021 10:30am – 3:30pm, online

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 imaging such as 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.

Call for abstracts:

There is the opportunity to present your work either as an oral presentation or poster (using Jamboard). Closing date for abstracts is 14th May 2021. Specific topics of interest include, but are not limited to, the following:

• generic methods for extraction of features from 3D imaging including deep learning
• advances in segmentation, tracking, detection, reconstruction and identification methods for 3D imaging which address unsolved plant phenotyping problems
• advances in feature extraction and related 3D imaging computer vision tasks which address challenges in other applications

Invited speakers:

• 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”

Further information and submission guidelines:

Please send abstracts by the deadline to enquiries@phenomuk.net, 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/plant-feature-extraction-from-3d-point-clouds%E2%80%8B-workshop/

We look forward to you joining us!

Workshop Organizers:

• Andrew Thompson (National Physical Laboratory, UK)
• Tony Pridmore (University of Nottingham, UK).