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Computing the Intrinsic Camera Parameters Using Pascal's Theorem

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Computer Analysis of Images and Patterns (CAIP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1689))

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Abstract

The authors of this paper adopted the characteristics of the image of the absolute conic in terms of Pascal's theorem to propose a new camera calibration method. Employing this theorem in the geometric algebra framework enables the authors to compute a projective invariant using the conics of only two images which expressed using brackets helps us to set enough equations to solve the calibration problem.

This work was granted by DFG(So-320-2-1).

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References

  1. Hartley, R. I. 1994. An algorithm for self-calibration from several views. In Proc. Conference on Computer Vision and Pattern Recognition, Seatle, WA, pp. 908–912.

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Correspondence to Eduardo Bayro-Corrochano .

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© 1999 Springer-Verlag Berlin Heidelberg

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Rosenhahn, B., Bayro-Corrochano, E. (1999). Computing the Intrinsic Camera Parameters Using Pascal's Theorem. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_52

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  • DOI: https://doi.org/10.1007/3-540-48375-6_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66366-9

  • Online ISBN: 978-3-540-48375-5

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