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10th International Conference on Image Analysis and Processing (ICIAP'99)
Improving the Robustness of Image-Based Tracking to Control 3D Robot Motions
Venice, Italy
September 27-September 29
ISBN: 0-7695-0040-4
Markus Vincze, Vienna University of Technology
Minu Ayromlou, Vienna University of Technology
Wilfried Kubinger, Vienna University of Technology
This paper reports new techniques to render real-time image-based tracking methods more robust to enable the control of robots in an arbitrary 3D in-door environment. The methods enable robust feature tracking by integrating several cues within tracking windows. Integration is achieved using EPIC, a method of Edge-Projected Integration of Cues at field rate using a common Pentium PC. The thorough analysis of the control loop indicates this need to operate at field rate to obtain optimal dynamic performance. The demonstration verifies this and shows the application of following in 6D a gray part over gray metal back-ground using common room lighting.
Citation:
Markus Vincze, Minu Ayromlou, Wilfried Kubinger, "Improving the Robustness of Image-Based Tracking to Control 3D Robot Motions," iciap, pp.274, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999
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