Abstract
This paper presents a novel 3d calibration method for line-scan cameras using coded straight line patterns. We describe an algorithm to calculate the 3d-points of intersection between the straight lines of the pattern and the viewing plane of the camera. By a simple encoding we can identify the intersections of multiple patterns unambiguously. For the actual 3d calibration we reduce the dimensionality of the camera model and solve the calibration problem within the viewing plane. After that 2d calibration we transfer the camera model back into 3d. Some real test results are shown to confirm the functionality of the proposed calibration method.
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© 2013 Springer-Verlag Berlin Heidelberg
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Lilienblum, E., Al-Hamadi, A., Michaelis, B. (2013). A Coded 3d Calibration Method for Line-Scan Cameras. In: Weickert, J., Hein, M., Schiele, B. (eds) Pattern Recognition. GCPR 2013. Lecture Notes in Computer Science, vol 8142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40602-7_9
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DOI: https://doi.org/10.1007/978-3-642-40602-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40601-0
Online ISBN: 978-3-642-40602-7
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