PhenomUK workshop on feature extraction from 3D point clouds Call for Papers

PhenomUK workshop on feature extraction from 3D point clouds

Wednesday 10th June

STEM Centre, University of Essex


Overview: 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). Motivated by applications in crop imaging, 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. This free workshop will provide an
excellent opportunity for those working on algorithms for 3D point
cloud processing to present their work and to explore applications in
crop imaging.

Call for abstracts: There is the opportunity to present your work
either as an oral presentation or poster. Closing date for abstracts
is 24th April 2020. Notification of acceptance is 11th May 2020.

Specific topics of interest include but are not restricted to:

    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

Invited Speakers:

    Dr Nick Pears (University of York) 
    A tour of deep learning on 3D images

    Dr Gert Kootstra (Wageningen University and Research) 
    3D digital plant phenotyping

Further information and submission guidelines:

Please send a 1-page abstract by the deadline to, indicating at the time whether your preference
is for an oral or poster presentation. Further information about the
workshop is available at


    Dr Andrew Thompson (National Physical Laboratory)
    Dr Tony Pridmore (University of Nottingham)