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Project Pages | mvp.visual-navigation.com Reviews
https://mvp.visual-navigation.com
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Project Pages
http://mvp.visual-navigation.com/3dmo.html
Machine Vision and Perception Group (MVP@TUM). The DLR 3D-Modeler (short: 3dMo) is a hand-held close-range scan device which allows the online creation of 3D models of arbirary objects, without artificial markers or other references. The system was developed at the German Aerospace Center (DLR). See also 3dMo @ DLR. Up to this project the scanner was globally referenced. By a stereo camera system and six spheres mounted on the scan device or. Real-time capable at a standard frame-rate (25 Hz). 3dMo track...
Project Pages
http://mvp.visual-navigation.com/zinf.html
Machine Vision and Perception Group (MVP@TUM). Algorithm is a novel method for navigation and obstacle avoidence based on the optical flow.The algorithm allows the calculation of the rotation and translational direction as well as the obstacle detection with a swerve direction. Though the method requires only little computing power, the accuracy is quite high an can be adapted to the actual circumstances. Motivation and some details. Vision-Based Environment Modelling (CoTeSys).
Project Pages
http://mvp.visual-navigation.com/publications.html
Machine Vision and Perception Group (MVP@TUM). Wei Wang, Lili Chen, Ziyuan Liu, Kolja Kühnlenz, and Darius Burschka. Textured/textureless object recognition and pose estimation using rgb-d image. International Journal of Real-Time Image Processing, special issue on Robot Vision. February 2014. [ bib. Mkhitaryan Artashes and Darius Burschka. 3d reconstruction of dynamic scenes from two asynchronous video-streams. In. November 2013. [ bib. Pages 728-733, Wollongong, Australia, July 2013. [ bib. Jonathan Bo...
Project Pages
http://mvp.visual-navigation.com/cotesys425.html
Machine Vision and Perception Group (MVP@TUM). Supporting Cognitive Processes on Mobile Platforms Using Joint Geometry-Based and Image-Based Environment Modeling. VEM (Visual Environment Modeling) is a project supported in part within the DFG excellence initiative research cluster Cognition for Technical Systems - CoTeSys. First results of following tasks are already available:. Visual surprise trigger based on bayesian inference. Further work aims on following topics:. Robot-robot joint model generation.
Project Pages
http://mvp.visual-navigation.com/cotesysxxx.html
Machine Vision and Perception Group (MVP@TUM). Taskflow recognition in everyday manipulation tasks. Training task-flow monitoring systems from unsupervised performance data is a very promising research area at the core of activity recognition systems targeting everyday manipulation tasks. The four principal investigators bring in unique and complementary competences and resources for the successful achievement of this project’s research goals. These goals are threefold:. State of the Art. Numerous works o...
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personal.visual-navigation.com
Darius Burschka - Homepage
http://personal.visual-navigation.com/links.html
Machine Vision and Perception Group. Vision-based Navigation Group @ TUM-Informatics. Computer Vision and Perception Group@TUM. Robotics and Embedded Systems Lab. Special Hardware and Software Environments - Technical Committee. Call for Papers for Special Issue on Vision Tools in IEEE Robotics and Automation Magazine. Computer Vision Home Page. Journal of Artifical Intelligence Research.
personal.visual-navigation.com
Darius Burschka - Homepage
http://personal.visual-navigation.com/projects.html
Machine Vision and Perception Group. Vision-based Navigation Group @ TUM-Informatics. 3D Exploration of Indoor Environments (32MB- MPEG). Human Computer Interfaces (8MB MPEG). See my current research projects here. Left) interactive "pong" game, where the user plays with. His hands (right) gesture recognition. See example MPEG movie. For the gesture recognition-. It starts with a teaching step, where the system. Requests specific gestures followed by the recognition. System presentation: see ZDTV report.
Darius Burschka - Homepage
http://www.visual-navigation.com/links.html
Machine Vision and Perception Group. Vision-based Navigation Group @ TUM-Informatics. Computer Vision and Perception Group@TUM. Robotics and Embedded Systems Lab. Special Hardware and Software Environments - Technical Committee. Call for Papers for Special Issue on Vision Tools in IEEE Robotics and Automation Magazine. Computer Vision Home Page. Journal of Artifical Intelligence Research.
Darius Burschka - Homepage
http://www.visual-navigation.com/teaching.html
Machine Vision and Perception Group. Vision-based Navigation Group @ TUM-Informatics. Principles of Computer Vision.
personal.visual-navigation.com
Darius Burschka - Homepage
http://personal.visual-navigation.com/index.php
Machine Vision and Perception Group. Vision-based Navigation Group @ TUM-Informatics. Univ-Prof. Dr.-Ing. Darius Burschka. Department of Computer Science. Machine Vision and Perception Group. D-85748 Garching bei München. D-85748 Garching bei München. Phone: ( 49 89) 289-17638. Fax: ( 49 89) 411-71603. My v-Card for photo-cellphones. My principle areas of research are sensors for mobile systems and Human Computer Interfaces. MICCAI tutorial re-connecting Robotics to MICCAI. New PhD position available.
rss2013_uav.visual-navigation.com
Workshop at 2013 Robotics: Science and Systems
http://rss2013_uav.visual-navigation.com/index.html
RSS 2013 Workshop on. Resource-Efficient Integration of Perception, Control and Navigation. For Micro Air Vehicles (MAVs). June 24-28, 2013, Technische Universität Berlin, Berlin, Germany. RSS2013 2nd Workshop on Resource-Efficient Integration of Perception, Control, and Navigation for Micro Air Vehicles (MAVs). Extended abstracts due: May 3, 2013. Notification of acceptance: May 17, 2013. Final submission: May 31, 2013. Subjects of interest include, but are not limited to:. Integration of perception wit...
personal.visual-navigation.com
Darius Burschka - Homepage
http://personal.visual-navigation.com/teaching.html
Machine Vision and Perception Group. Vision-based Navigation Group @ TUM-Informatics. Principles of Computer Vision.
personal.visual-navigation.com
Robot Cleaning a Cluttered Table Scenario
http://personal.visual-navigation.com/clean_table.html
Movie of the LBR Robot Cleaning a Cluttered Table Scenario. The movie shows the DLR. LBR robot cleaning a cluttered table scenario using a geometry based object recognition developed by the MVP Group at TUM. As a result of the EU FP7 project GRASP. The 3D point cloud originates from a Kinect sensor.
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Project Pages
Machine Vision and Perception Group (MVP@TUM). Machine Vision and Perception Group. At the Technische Universität München (TUM). Here you can find some information about the projects our group is involved with. Vision-Based Environment Modelling (CoTeSys). Deformable Surface Modeling (GRASP). Manipulation-relevant object properties (GRASP). Representation of Manipulation-Relevant Object Properties (GRASP). Zinf - Efficient Outdoor Navigation. Online Localization for 3D Modeling.
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WRD Hệ thống thông tin điều hành tác nghiệp - Elive Portal > Trang MVP
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