On the design of a fractal calibration pattern for improved camera calibration
Camera calibration, crucial for computer vision tasks, often relies on planar calibration targets to calibrate the camera parameters. This work describes the design of a planar, fractal, self-identifying calibration pattern, which provides a high density of calibration points for a large range of ma...
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| Main Authors: | , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
15.05.2017
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| In: |
Technisches Messen
Year: 2017, Volume: 84, Issue: 7-8, Pages: 440-451 |
| ISSN: | 2196-7113 |
| DOI: | 10.1515/teme-2017-0013 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1515/teme-2017-0013 Verlag, Volltext: https://www.degruyterbrill.com/view/j/teme.2017.84.issue-7-8/teme-2017-0013/teme-2017-0013.xml 
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| Author Notes: | Hendrik Schilling, Maximilian Diebold, Marcel Gutsche, Bernd Jähne |
| Summary: | Camera calibration, crucial for computer vision tasks, often relies on planar calibration targets to calibrate the camera parameters. This work describes the design of a planar, fractal, self-identifying calibration pattern, which provides a high density of calibration points for a large range of magnification factors. An evaluation on ground truth data shows that the target provides very high accuracy over a wide range of conditions. |
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| Item Description: | Gesehen am 07.05.2018 |
| Physical Description: | Online Resource |
| ISSN: | 2196-7113 |
| DOI: | 10.1515/teme-2017-0013 |