TY  - CONF
AU  - Baker, Dirk Norbert
AU  - Selzner, Tobias
AU  - Göbbert, Jens Henrik
AU  - Scharr, Hanno
AU  - Riedel, Morris
AU  - Hvannberg, Ebba Þóra
AU  - Schnepf, Andrea
AU  - Zielasko, Daniel
TI  - Hands-On Plant Root System Reconstruction in Virtual Reality
PB  - ACM New York, NY, USA
M1  - FZJ-2024-05920
SP  - 1-2
PY  - 2024
AB  - 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.
T2  - VRST '24: 30th ACM Symposium on Virtual Reality Software and Technology
CY  - 9 Oct 2024 - 11 Oct 2024, Trier Germany (Germany)
Y2  - 9 Oct 2024 - 11 Oct 2024
M2  - Trier Germany, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:001336540500090
DO  - DOI:10.1145/3641825.3689494
UR  - https://juser.fz-juelich.de/record/1032004
ER  -