Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2004-05-25
SIAM Imaging Science, 2004
Computer Science
Computer Vision and Pattern Recognition
6 pages, 4 figures, 2 tables
Scientific paper
This paper presents a blind detection and compensation technique for camera lens geometric distortions. The lens distortion introduces higher-order correlations in the frequency domain and in turn it can be detected using higher-order spectral analysis tools without assuming any specific calibration target. The existing blind lens distortion removal method only considered a single-coefficient radial distortion model. In this paper, two coefficients are considered to model approximately the geometric distortion. All the models considered have analytical closed-form inverse formulae.
Chen YangQuan
Ma Lili
Moore Kevin L.
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