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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nelson, B.J. Khosla, P.K. |
| Copyright Year | 1994 |
| Description | Author affiliation: Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA (Nelson, B.J.; Khosla, P.K.) |
| Abstract | This paper introduces a sensor placement measure called resolvability. The measure provides a technique for estimating the relative ability of various visual sensors, including monocular systems, stereo pairs, multi-baseline stereo systems, and 3D rangefinders, to accurately control visually manipulated objects. The resolvability ellipsoid illustrates the directional nature of resolvability, and can be used to direct camera motion and adjust camera intrinsic parameters in real-time so that the servoing accuracy of the visual servoing system improves with camera-lens motion. The Jacobian mapping from task space to sensor space is derived for a monocular system, a stereo pair with parallel optical axes, and a stereo pair with perpendicular optical axes. Resolvability ellipsoids based on these mappings for various sensor configurations are presented. Visual servoing experiments demonstrate that resolvability can be used to direct camera-lens motion in order to increase the ability of a visually servoed manipulator to precisely servo objects.<> |
| Starting Page | 829 |
| Ending Page | 832 |
| File Size | 394497 |
| Page Count | 4 |
| File Format | |
| ISBN | 0818658258 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1994.323907 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-06-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Manipulators, motion planning Robots, vision systems Stereo vision Servosystems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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