Publication:
Camera autocalibration using Plucker coordinates

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Publication Date
2005
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IEEE
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Abstract
We present new results on the Absolute Line Quadric (ALQ), the geometric object representing the set of lines that intersect the absolute conic. We include new techniques for the obtainment of the Euclidean structure that lead to an efficient algorithm for the autocalibration of cameras with varying parameters.
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IEEE International Conference on Image Processing (ICIP 2005), SEP 11-14, 2005, Genoa, ITALY
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R.I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge, UK, 2000. S.J. Maybank and O. Faugeras, A Theory of Self-Calibration of a Moving Camera. International Journalof Computer Vision 8, pp. 123-152. 1992 J. Ponce, On computing metric upgrades of projective reconstructions under the rectangular pixel assumption. Proc. SMILE 2000. J.I. Ronda, A. Valdes, G. Gallego, Autocalibration of cameras with known pixel shape, Internal Report UPM–UCM, www.mat.ucm.es/»avaldes/LAQMatrix.ps J.G. Semple and G.T. Kneebone, Algebraic Projective Geometry, Oxford University Press, 1998. Y. Seo, A. Heyden, Auto-calibration from the orthogonality constraints, ICCV’00. W. Triggs, Auto-calibration and the absolute quadric. Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 609–614. 1997. A. Valdes, J.I. Ronda and G. Gallego, Linear camera autocalibration with varying parameters, IEEE International Conference on Image Processing (ICIP) 2004, pp. 3395-3398. A. Valdes and J.I. Ronda, Camera autocalibration and the calibration pencil. Journal of Mathematical Imaging and Vision 23, pp. 167-174, 2005.
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