Abstract
Camera self-calibration is one of the key technologies in 3D reconstruction. In this paper a new Camera Self-Calibration method is proposed which is based on image sequence, in addition, the intrinsic camera parameters are varying. This method based on Kruppa equations, by two upper triangular matrixes must exist a relational matrix, make the varying focal length convert to the relational matrix, thus use the epipolar geometry relationship of absolute conic to get the intrinsic camera parameters. Experimental results show that the method is a high precision, robustness strong self –calibration.
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Jiang, Z., Guo, S., Jia, L. (2012). Sequences Images Based Camera Self-calibration Method. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_69
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DOI: https://doi.org/10.1007/978-3-642-31919-8_69
Publisher Name: Springer, Berlin, Heidelberg
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