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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nguyen, T. Reitmayr, G. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Graz Univ. of Technol., Graz, Austria (Nguyen, T.) || Dept. of Comput. Scienece, Graz Univ. of Technol., Graz, Austria (Reitmayr, G.) |
| Abstract | The combination of a cheap single-point laser range finder (LRF) device and cameras has become increasingly useful in recent research and industrial applications. While the single dot laser range finder can only provide depth for a single pixel in the observed image, it's cost and size can be useful for handheld devices or very lightweight robotic platforms. In this work, we propose two accurate calibration methods for determining the position and direction of the laser range finder with respect to the camera. Notably, we can determine the full calibration, even without observing the laser range finder observation point in the camera image. We evaluate both methods on synthetic and real data demonstrating their efficiency and good behavior under noise. |
| Sponsorship | IEEE Ind. Electron. Soc. |
| Starting Page | 1801 |
| Ending Page | 1806 |
| File Size | 1026666 |
| Page Count | 6 |
| File Format | |
| ISSN | 21530858 |
| DOI | 10.1109/IROS.2013.6696593 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Calibration Measurement by laser beam Laser noise Three-dimensional displays Equations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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