Abstract
This paper presents a novel nonlinear camera calibration algorithm using coplanar circles. The calibration procedure consists of two steps. In the first step, the distortion-free camera parameters are estimated based on the oval area of maximum overlap between the projected circle and the modeled ellipse. In the next step, nonlinear optimization process takes into account camera distortions. Compared with the classical point to point methods, our approach can get higher accuracy of the camera ideal parameters in first step. So, more accurate distortion parameters can be obtained.
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Li, W., Tong, XJ., Gan, HT. (2010). A Nonlinear Camera Calibration Method Based on Area. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16336-4_25
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DOI: https://doi.org/10.1007/978-3-642-16336-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16335-7
Online ISBN: 978-3-642-16336-4
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