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Checkerboard image processing under uneven illumination for robust Harris corner detection in camera calibration
Author(s): J.-P. Liu; Z. Yang; H. Huo; T. Fang
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Paper Abstract

Harris corner detection in checkerboard images for camera calibration often suffer from uneven illumination. The key to camera calibration lies in that how to robustly detect corners from the degraded images. To this end, an image processing method is proposed to deal with non-uniform illumination problems. Experiments show that the stabilities of Harris corner detection under uneven illumination are improved obviously.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080664 (9 August 2018); doi: 10.1117/12.2503575
Show Author Affiliations
J.-P. Liu, Shanghai Jiao Tong Univ. (China)
Z. Yang, Shanghai Jiao Tong Univ. (China)
H. Huo, Shanghai Jiao Tong Univ. (China)
T. Fang, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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