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• W2133444406 abstract "Abstract. 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." @default.
• W2133444406 created "2016-06-24" @default.
• W2133444406 creator A5056018576 @default.
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• W2133444406 date "2014-08-11" @default.
• W2133444406 modified "2023-10-02" @default.
• W2133444406 title "Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images" @default.
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• W2133444406 doi "https://doi.org/10.5194/isprsarchives-xl-3-95-2014" @default.
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