Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 95-99, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/95/2014/
doi:10.5194/isprsarchives-XL-3-95-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
11 Aug 2014
Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images
Z. Franjcic1,2 and J. Bondeson1 1Qualisys AB, Gothenburg, Sweden
2t2i Lab, Chalmers University of Technology, Gothenburg, Sweden
Keywords: Self-Calibration, Gröbner basis, Bundle Adjustment, Image Distortion, Planar Pattern, Performance Analysis 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.
Conference paper (PDF, 2182 KB)


Citation: Franjcic, Z. and Bondeson, J.: Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 95-99, doi:10.5194/isprsarchives-XL-3-95-2014, 2014.

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