Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images

Franjcic, Z.; Bondeson, J.

Recently, a camera self-calibration algorithm was reported which solves for pose, focal length and radial distortion using a minimal set of four 2D-to-3D point correspondences. In this paper, we present an empirical analysis of the algorithm’s accuracy using highfidelity point correspondences. In particular, we use images of circular markers arranged in a regular planar grid, obtain the centroids of the marker images, and pass those as input point correspondences to the algorithm. We compare the resulting reprojection errors against those obtained from a benchmark calibration based on the same data. Our experiments show that for low-noise point images the self-calibration technique performs at least as good as the benchmark with a simplified distortion model.

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Franjcic, Z. / Bondeson, J.: Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images. 2014. Copernicus Publications.

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Rechteinhaber: Z. Franjcic

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