Accurate camera calibration algorithm using a robust estimation of the perspective projection matrix

R. Guerchouche; F. Coldefy; T. Zaharia

doi:10.1117/12.680270

25 August 2006 Accurate camera calibration algorithm using a robust estimation of the perspective projection matrix

R. Guerchouche, F. Coldefy, T. Zaharia

Proceedings Volume 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX; 63150D (2006) https://doi.org/10.1117/12.680270
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

After a comprehensive overview of camera calibration algorithms, this paper introduces a robust calibration method based on contour matching of a pattern object. In contrast with state of the art methods, no manual and fastidious selection of particular pattern points is required. In order to evaluate the accuracy of the proposed approach, an objective comparison with three well-known methods (Faugeras and Toscani, Tsai, and Zhang) is proposed and discussed in detail. Experiments show that the proposed robust approach outperforms existing techniques and yields accurate results even when calibration is performed from a single image.

Citation Download Citation

R. Guerchouche, F. Coldefy, and T. Zaharia "Accurate camera calibration algorithm using a robust estimation of the perspective projection matrix", Proc. SPIE 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, 63150D (25 August 2006); https://doi.org/10.1117/12.680270

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