Abstract
To calibrate radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that lines, which are supposed to be straight in the 3D real scene, are mapped to straight lines in the calibrated image. In this paper, this problem is treated as a fitting problem of the principal component in uncalibrated images, and an estimation procedure of calibration parameters is proposed based on the principal component analysis. Experimental results for synthetic data and real images are presented to demonstrate the performance of our calibration method.
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Hino, H., Usami, Y., Fujiki, J., Akaho, S., Murata, N. (2009). Calibration of Radially Symmetric Distortion by Fitting Principal Component. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_18
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DOI: https://doi.org/10.1007/978-3-642-03767-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03766-5
Online ISBN: 978-3-642-03767-2
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