Publication: Lens distortion correction for thermal ...
Master data
| Title: | Lens distortion correction for thermal cameras to improve aerial imaging with small-scale uavs |
| Subtitle: | |
| Abstract: | Lens distortion as a result of the shape and construction of a photographic lens is a common problem in image acquisition. Thermal cameras are no exception to this artifact. So far many methods have been developed to formulate the distortion model and almost all of them exploit the patterns in visible range to calibrate the lenses in RGB cameras. A checkerboard is among the most common and well-defined patterns for RGB camera calibration. Unfortunately, most of those patterns will not be easily visible in images taken by a thermal camera. Furthermore, since the thermal cameras measure the infrared radiation (heat), the conductivity of the heat to the bordering objects in the pattern might mitigate sharp edges, which will make detection of relevant features within the pattern harder and less precise. In this paper we propose an algorithm to construct a calibration pattern visible for the thermal infrared cameras. We show how to extract robust features out of the sensed checkerboard pattern which is used afterward for lens distortion correction. Further, we evaluate our method and compare it to results obtained from well established algorithms for visible-light lens calibration. We also demonstrate how distortion correction improves the image registration between thermal and RGB aerial images taken by small-scale unmanned aerial vehicles (UAVs). |
| Keywords: |
| Publication type: | Article in compilation (Authorship) |
| Publication date: | 09.2011 (Print) |
| Published by: |
IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011)
IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011)
(
IEEE Computer Society Press;
P. Payeur, P. Wide
)
to publication |
| Title of the series: | - |
| Volume number: | - |
| First publication: | Yes |
| Page: | pp. 1 - 6 |
Versionen
| Keine Version vorhanden |
| Publication date: | 09.2011 |
| ISBN: | - |
| ISSN: | - |
| Homepage: | http://pervasive.uni-klu.ac.at/publications/pdf/Yahyanejad_ROSE2011a.pdf |
Authors
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S. Yahyanejad
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J. Misiorny
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B. Rinner
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| Saeed Yahyanejad (internal) |
| Bernhard Rinner (internal) |
Assignment
| Organisation | Address | ||||
|---|---|---|---|---|---|
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
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