TY - GEN
T1 - Calibration of radially symmetric distortion based on linearity in the calibrated image
AU - Fujiki, Jun
AU - Hino, Hideitsu
AU - Akaho, Shotaro
AU - Murata, Noboru
PY - 2011
Y1 - 2011
N2 - For calibration of general radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that curved lines, which are supposed to be straight in the real-world, are mapped to straight lines in the calibrated image, which is called plumbline principle. Under the principle, the camera with radially symmetric distortion can be calibrated by at least one distorted line in a image, theoretically, and the calibrated image is equivalent to the image taken by an ideal pin-hole camera. In this paper, the method to optimize the calibration parameters by maximizing the sum of the straightness, which is invariant under translation, rotation and magnification (scaling), of distorted lines on calibrated image is proposed. The performance of the proposed method is evaluated by artificial data and a real image.
AB - For calibration of general radially symmetric distortion of omnidirectional cameras such as fish-eye lenses, calibration parameters are usually estimated so that curved lines, which are supposed to be straight in the real-world, are mapped to straight lines in the calibrated image, which is called plumbline principle. Under the principle, the camera with radially symmetric distortion can be calibrated by at least one distorted line in a image, theoretically, and the calibrated image is equivalent to the image taken by an ideal pin-hole camera. In this paper, the method to optimize the calibration parameters by maximizing the sum of the straightness, which is invariant under translation, rotation and magnification (scaling), of distorted lines on calibrated image is proposed. The performance of the proposed method is evaluated by artificial data and a real image.
UR - http://www.scopus.com/inward/record.url?scp=84856637793&partnerID=8YFLogxK
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U2 - 10.1109/ICCVW.2011.6130255
DO - 10.1109/ICCVW.2011.6130255
M3 - Conference contribution
AN - SCOPUS:84856637793
SN - 9781467300629
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 288
EP - 295
BT - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
T2 - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Y2 - 6 November 2011 through 13 November 2011
ER -