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检索条件"机构=Brown University Technology Center for Advanced Scientific Computing and Visualization"
8 条 记 录,以下是1-10 订阅
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Double exponential smoothing: An alternative to Kalman filter-based predictive tracking
Double exponential smoothing: An alternative to Kalman filte...
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9th EUROGRAPHICS Workshop on Virtual Environments, EGVE 2003
作者: LaViola Jr., Joseph J. Brown University Technology Center for Advanced Scientific Computing and Visualization PO Box 1910 Providence RI 02912 United States
We present novel algorithms for predictive tracking of user position and orientation based on double exponential smoothing. These algorithms, when compared against Kalman and extended Kalman filter-based predictors wi... 详细信息
来源: 评论
A testbed for studying and choosing predictive tracking algorithms in virtual environments
A testbed for studying and choosing predictive tracking algo...
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9th EUROGRAPHICS Workshop on Virtual Environments, EGVE 2003
作者: LaViola Jr., Joseph J. Brown University Technology Center for Advanced Scientific Computing and Visualization PO Box 1910 Providence RI 02912 United States
We present a testbed for comparing predictive tracking algorithms that allows virtual environment system developers to make better choices about which predictors to use in their environments and aids researchers in de... 详细信息
来源: 评论
A testbed for studying and choosing predictive tracking algorithms in virtual environments  03
A testbed for studying and choosing predictive tracking algo...
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Proceedings of the workshop on Virtual environments 2003
作者: Joseph J. LaViola Brown University Technology Center for Advanced Scientific Computing and Visualization Providence RI
We present a testbed for comparing predictive tracking algorithms that allows virtual environment system developers to make better choices about which predictors to use in their environments and aids researchers in de...
来源: 评论
Double exponential smoothing: an alternative to Kalman filter-based predictive tracking  03
Double exponential smoothing: an alternative to Kalman filte...
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Proceedings of the workshop on Virtual environments 2003
作者: Joseph J. LaViola Brown University Technology Center for Advanced Scientific Computing and Visualization Providence RI
We present novel algorithms for predictive tracking of user position and orientation based on double exponential smoothing. These algorithms, when compared against Kalman and extended Kalman filter-based predictors wi...
来源: 评论
Pop through button devices for VE navigation and interaction
Pop through button devices for VE navigation and interaction
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IEEE Annual International Symposium Virtual Reality
作者: R.C. Zeleznik J.J. LaViola D. Acevedo Feliz D.F. Keefe Advanced Scientific Computing and Visualization Brown University Technology Center Providence RI USA
Presents a novel class of virtual reality input devices that combine pop-through buttons with 6-DOF trackers. Compared to similar devices that use conventional buttons, pop-through devices double the number of potenti... 详细信息
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An experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms
An experiment comparing double exponential smoothing and Kal...
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IEEE Annual International Symposium Virtual Reality
作者: J.J. LaViola Advanced Scientific Computing and Visualization Brown University Technology Center Providence RI USA
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show that the double exponential smoothers ru... 详细信息
来源: 评论
A comparison of unscented and extended Kalman filtering for estimating quaternion motion
A comparison of unscented and extended Kalman filtering for ...
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American Control Conference (ACC)
作者: J.J. LaViola For Advanced Scientific Computing and Visualization Brown University Technology Center Providence RI USA
The unscented Kalman filter is a superior alternative to the extended Kalman filter for a variety of estimation and control problems. However, its effectiveness for improving human motion tracking for virtual reality ... 详细信息
来源: 评论
An environment for sustainable research software in Germany and beyond: Current state, open challenges, and call for action
arXiv
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arXiv 2020年
作者: Anzt, Hartwig Bach, Felix Druskat, Stephan Löffler, Frank Loewe, Axel Renard, Bernhard Y. Seemann, Gunnar Struck, Alexander Achhammer, Elke Aggarwal, Piush Appel, Franziska Bader, Michael Brusch, Lutz Busse, Christian Chourdakis, Gerasimos Dabrowski, Piotr W. Ebert, Peter Flemisch, Bernd Friedl, Sven Fritzsch, Bernadette Funk, Maximilian D. Gast, Volker Goth, Florian Grad, Jean-Noël Hermann, Sibylle Hohmann, Florian Janosch, Stephan Kutra, Dominik Linxweiler, Jan Muth, Thilo Peters-Kottig, Wolfgang Rack, Fabian Raters, Fabian H.C. Rave, Stephan Reina, Guido Reißig, Malte Ropinski, Timo Schaarschmidt, Joerg Seibold, Heidi Thiele, Jan P. Uekerman, Benjamin Unger, Stefan Weeber, Rudolf Germany Innovative Computing Lab University of Tennessee KnoxvilleTN United States Department of English Studies Friedrich Schiller University Jena Germany Germany Department of Computer Science Humboldt-Universität zu Berlin Germany Heinz Nixdorf Chair for Distributed Information Systems Friedrich Schiller University Jena Germany Michael Stifel Center Jena Germany Center for Computation and Technology Louisiana State University Baton Rouge United States Germany Robert Koch Institute Berlin Germany Hasso Plattner Institute Faculty of Digital Engineering University of Potsdam Germany Institute for Experimental Cardiovascular Medicine University Heart Centre Freiburg Bad Krozingen Germany Faculty of Medicine University of Freiburg Freiburg Germany Matters of Activity. Image Space Material. Cluster of Excellence at Humboldt-Universität zu Berlin Germany Technische Universität München Germany Language Technology Lab Universität Duisburg-Essen Germany Germany Department of Informatics Technical University of Munich Germany Technische Universität Dresden Germany Deutsches Krebsforschungszentrum Heidelberg Germany Scientific Computing in Computer Science Technical University Munich Germany School of Computing Communication and Business Hochschule für Technik und Wirtschaft Berlin Germany Center for Bioinformatics Saar Saarland Informatics Campus Germany Institute for Modelling Hydraulic and Environmental Systems University of Stuttgart Germany Berlin Institute of Health Germany Scientific Computing Alfred Wegener Institute Helmholtz Center for Polar and Marine Research Bremerhaven Germany Max-Planck-Gesellschaft e.V. Institut für Theoretische Physik und Astrophysik Universität Würzburg Germany Institut für Computerphysik University of Stuttgart Germany University Library University of Stuttgart Germany Universität Bremen Germany Max Planck Institute of Molecular Cell Biology and Genetics Dresden Germany European Molecular Biology Laboratory Heidelb
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in its... 详细信息
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