%0 Conference Paper
%A Baker, Dirk Norbert
%A Selzner, Tobias
%A Göbbert, Jens Henrik
%A Scharr, Hanno
%A Riedel, Morris
%A Hvannberg, Ebba Þóra
%A Schnepf, Andrea
%A Zielasko, Daniel
%T Hands-On Plant Root System Reconstruction in Virtual Reality
%I ACM New York, NY, USA
%M FZJ-2024-05920
%P 1-2
%D 2024
%< 30th ACM Symposium on Virtual Reality Software and Technology : [Proceedings] - ACM New York, NY, USA, 2024. - ISBN 9798400705359 - doi:10.1145/3641825.3689494
%X VRoot is an immersive extended reality reconstruction tool for root system architectures from 3D volumetric scans of soil columns. We have conducted a laboratory user study to assess the performance of new users with our software in comparison to established software. We utilize a plant model to derive a synthetic root architecture, providing a baseline for reconstruction. This demo showcases the processes and techniques contributing to exact and efficient manual root architecture reconstruction in Virtual Reality. The extraction task typically is the sparse graph-structure extraction from a 3D magnetic-resonance imaging (MRI) data set. We visualize the RSA directly within the MRI and offer selection-set-based methods of adapting and augmenting the root architecture. This application is in productive use at our partner institute, where it is used to analyze complex root images.
%B VRST '24: 30th ACM Symposium on Virtual Reality Software and Technology
%C 9 Oct 2024 - 11 Oct 2024, Trier Germany (Germany)
Y2 9 Oct 2024 - 11 Oct 2024
M2 Trier Germany, Germany
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%U <Go to ISI:>//WOS:001336540500090
%R 10.1145/3641825.3689494
%U https://juser.fz-juelich.de/record/1032004