TY - JOUR A1 - Schorn, Michelle A. A1 - Verhoeven, Stefan A1 - Ridder, Lars A1 - Huber, Florian A1 - Acharya, Deepa D. A1 - Aksenov, Alexander A. A1 - Aleti, Gajender A1 - Moghaddam, Jamshid Amiri A1 - Aron, Allegra T. A1 - Aziz, Saefuddin A1 - Bauermeister, Anelize A1 - Bauman, Katherine D. A1 - Baunach, Martin A1 - Beemelmanns, Christine A1 - Beman, J. Michael A1 - Berlanga-Clavero, María Victoria A1 - Blacutt, Alex A. A1 - Bode, Helge B. A1 - Boullie, Anne A1 - Brejnrod, Asker A1 - Bugni, Tim S. A1 - Calteau, Alexandra A1 - Cao, Liu A1 - Carrión, Víctor J. A1 - Castelo-Branco, Raquel A1 - Chanana, Shaurya A1 - Chase, Alexander B. A1 - Chevrette, Marc G. A1 - Costa-Lotufo, Leticia V. A1 - Crawford, Jason M. A1 - Currie, Cameron R. A1 - Cuypers, Bart A1 - Dang, Tam A1 - de Rond, Tristan A1 - Demko, Alyssa M. A1 - Dittmann, Elke A1 - Du, Chao A1 - Drozd, Christopher A1 - Dujardin, Jean-Claude A1 - Dutton, Rachel J. A1 - Edlund, Anna A1 - Fewer, David P. A1 - Garg, Neha A1 - Gauglitz, Julia M. A1 - Gentry, Emily C. A1 - Gerwick, Lena A1 - Glukhov, Evgenia A1 - Gross, Harald A1 - Gugger, Muriel A1 - Guillén Matus, Dulce G. A1 - Helfrich, Eric J. N. A1 - Hempel, Benjamin-Florian A1 - Hur, Jae-Seoun A1 - Iorio, Marianna A1 - Jensen, Paul R. A1 - Kang, Kyo Bin A1 - Kaysser, Leonard A1 - Kelleher, Neil L. A1 - Kim, Chung Sub A1 - Kim, Ki Hyun A1 - Koester, Irina A1 - König, Gabriele M. A1 - Leao, Tiago A1 - Lee, Seoung Rak A1 - Lee, Yi-Yuan A1 - Li, Xuanji A1 - Little, Jessica C. A1 - Maloney, Katherine N. A1 - Männle, Daniel A1 - Martin H, Christian A1 - McAvoy, Andrew C. A1 - Metcalf, Willam W. A1 - Mohimani, Hosein A1 - Molina-Santiago, Carlos A1 - Moore, Bradley S. A1 - Mullowney, Michael W. A1 - Muskat, Mitchell A1 - Nothias, Louis-Félix A1 - O'Neill, Ellis C. A1 - Parkinson, Elizabeth I. A1 - Petras, Daniel A1 - Piel, Jörn A1 - Pierce, Emily C. A1 - Pires, Karine A1 - Reher, Raphael A1 - Romero, Diego A1 - Roper, M. Caroline A1 - Rust, Michael A1 - Saad, Hamada A1 - Saenz, Carmen A1 - Sanchez, Laura M. A1 - Sørensen, Søren Johannes A1 - Sosio, Margherita A1 - Süssmuth, Roderich D. A1 - Sweeney, Douglas A1 - Tahlan, Kapil A1 - Thomson, Regan J. A1 - Tobias, Nicholas J. A1 - Trindade-Silva, Amaro E. A1 - van Wezel, Gilles P. A1 - Wang, Mingxun A1 - Weldon, Kelly C. A1 - Zhang, Fan A1 - Ziemert, Nadine A1 - Duncan, Katherine R. A1 - Crüsemann, Max A1 - Rogers, Simon A1 - Dorrestein, Pieter C. A1 - Medema, Marnix H. A1 - van der Hooft, Justin J. J. T1 - A community resource for paired genomic and metabolomic data mining JF - Nature Chemical Biology Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-34708 UR - http://www.ncbi.nlm.nih.gov/pubmed/33589842 SN - 1552-4469 N1 - Additional information: Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s41589-020-00724-z. VL - 17 IS - 4 SP - 363 EP - 368 PB - Nature ER - TY - CHAP A1 - Paul, Felix A1 - Herder, Jens ED - Herder, Jens ED - Geiger, Christian ED - Dörner, Ralf ED - Grimm, Paul T1 - A model-based filtering approach for real-time human motion data T2 - Workshop Proceedings / Tagungsband: Virtuelle und Erweiterte Realität – 15. Workshop der GI-Fachgruppe VR/AR N2 - Acquiring human motion data from video images plays an important role in the field of computer vision. Ground truth tracking systems require markers to create high quality motion data. But in many applications it is desired to work without markers. In recent years affordable hardware for markerless tracking systems was made available at a consumer level. Efficient depth camera systems based on Time-of-Flight sensors and structured light systems have made it possible to record motion data in real time. However, the gap between the quality of marker-based and markerless systems is high. The error sources of a markerless motion tracking pipeline are discussed and a model-based filter is proposed, which adapts depending on spatial location. The proposed method is then proven to be more robust and accurate than the unfiltered data stream and can be used to visually enhance the presence of an actor within a virtual environment in live broadcast productions. KW - Virtual (TV) Studio Y1 - 2018 UR - http://vsvr.medien.hs-duesseldorf.de/publications/gi-vrar2018-filter/ SN - 978-3-8440-6215-1 U6 - https://doi.org/10.2370/9783844062151 SP - 37 EP - 44 PB - Shaker Verlag CY - Herzogenrath ER -