Abstract
In the present paper, we propose a multi camera calibration method that estimates both the intrinsic and extrinsic parameters of each camera. Assuming a reference plane has an infinitely repeated pattern, finding corresponding points between cameras is regarded as being equivalent to the estimation of discrete 2-D transformation on the observed reference plane. This means that the proposed method does not require any overlap of the observed region, and bundle adjustment can be performed in the sense of point-to-point correspondence. Our experiment demonstrates that the proposed method is practically admissible and sufficiently useful for building a simple shape measurement system using multiple cameras.
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© 2011 Springer-Verlag Berlin Heidelberg
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Kawabata, S., Kawai, Y. (2011). Correspondence-Free Multi Camera Calibration by Observing a Simple Reference Plane. In: Kimmel, R., Klette, R., Sugimoto, A. (eds) Computer Vision – ACCV 2010. ACCV 2010. Lecture Notes in Computer Science, vol 6494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19318-7_41
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DOI: https://doi.org/10.1007/978-3-642-19318-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19317-0
Online ISBN: 978-3-642-19318-7
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