001032004 001__ 1032004
001032004 005__ 20241210095447.0
001032004 0247_ $$2doi$$a10.1145/3641825.3689494
001032004 0247_ $$2WOS$$aWOS:001336540500090
001032004 037__ $$aFZJ-2024-05920
001032004 1001_ $$0P:(DE-Juel1)185995$$aBaker, Dirk Norbert$$b0$$eCorresponding author
001032004 1112_ $$aVRST '24: 30th ACM Symposium on Virtual Reality Software and Technology$$cTrier Germany$$d2024-10-09 - 2024-10-11$$wGermany
001032004 245__ $$aHands-On Plant Root System Reconstruction in Virtual Reality
001032004 260__ $$bACM New York, NY, USA$$c2024
001032004 29510 $$a30th ACM Symposium on Virtual Reality Software and Technology : [Proceedings] - ACM New York, NY, USA, 2024. - ISBN 9798400705359 - doi:10.1145/3641825.3689494
001032004 300__ $$a1-2
001032004 3367_ $$2ORCID$$aCONFERENCE_PAPER
001032004 3367_ $$033$$2EndNote$$aConference Paper
001032004 3367_ $$2BibTeX$$aINPROCEEDINGS
001032004 3367_ $$2DRIVER$$aconferenceObject
001032004 3367_ $$2DataCite$$aOutput Types/Conference Paper
001032004 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1730268784_26956
001032004 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
001032004 520__ $$aVRoot 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.
001032004 536__ $$0G:(DE-HGF)POF4-2A3$$a2A3 - Remote Sensing  (CARF - CCA) (POF4-2A3)$$cPOF4-2A3$$fPOF IV$$x0
001032004 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x1
001032004 536__ $$0G:(DE-HGF)POF4-5121$$a5121 - Supercomputing & Big Data Facilities (POF4-512)$$cPOF4-512$$fPOF IV$$x2
001032004 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x3
001032004 536__ $$0G:(DE-Juel-1)DEA02266$$aEUROCC-2 (DEA02266)$$cDEA02266$$x4
001032004 536__ $$0G:(GEPRIS)390732324$$aDFG project G:(GEPRIS)390732324 - EXC 2070: PhenoRob - Robotik und Phänotypisierung für Nachhaltige Nutzpflanzenproduktion (390732324)$$c390732324$$x5
001032004 588__ $$aDataset connected to CrossRef Conference
001032004 7001_ $$0P:(DE-Juel1)179508$$aSelzner, Tobias$$b1
001032004 7001_ $$0P:(DE-Juel1)168541$$aGöbbert, Jens Henrik$$b2
001032004 7001_ $$0P:(DE-Juel1)129394$$aScharr, Hanno$$b3
001032004 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b4
001032004 7001_ $$00000-0002-8041-5542$$aHvannberg, Ebba Þóra$$b5
001032004 7001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b6
001032004 7001_ $$00000-0003-3451-4977$$aZielasko, Daniel$$b7
001032004 773__ $$a10.1145/3641825.3689494
001032004 8564_ $$uhttps://doi.org/10.1145/3641825.368949
001032004 909CO $$ooai:juser.fz-juelich.de:1032004$$pVDB
001032004 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185995$$aForschungszentrum Jülich$$b0$$kFZJ
001032004 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)179508$$aForschungszentrum Jülich$$b1$$kFZJ
001032004 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)168541$$aForschungszentrum Jülich$$b2$$kFZJ
001032004 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129394$$aForschungszentrum Jülich$$b3$$kFZJ
001032004 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132239$$aForschungszentrum Jülich$$b4$$kFZJ
001032004 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)157922$$aForschungszentrum Jülich$$b6$$kFZJ
001032004 9131_ $$0G:(DE-HGF)POF4-2A3$$1G:(DE-HGF)POF4-2A0$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lCOOPERATION ACROSS RESEARCH FIELDS (CARFs)$$vRemote Sensing  (CARF - CCA)$$x0
001032004 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x1
001032004 9131_ $$0G:(DE-HGF)POF4-512$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5121$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vSupercomputing & Big Data Infrastructures$$x2
001032004 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x3
001032004 9141_ $$y2024
001032004 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001032004 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x1
001032004 9201_ $$0I:(DE-Juel1)IAS-8-20210421$$kIAS-8$$lDatenanalyse und Maschinenlernen$$x2
001032004 980__ $$acontrib
001032004 980__ $$aVDB
001032004 980__ $$acontb
001032004 980__ $$aI:(DE-Juel1)JSC-20090406
001032004 980__ $$aI:(DE-Juel1)IBG-3-20101118
001032004 980__ $$aI:(DE-Juel1)IAS-8-20210421
001032004 980__ $$aUNRESTRICTED