This paper presents a technique by which any linear CCD camera, be it one with lens distortions, or even one with misaligned lens and CCD, may be calibrated to obtain optimum performance characteristics. The camera-image formation model is described as a polynomial expression, which provides the line-of-sight flat-beam, including the target light-spot. The coefficients of the expression, which are referred to as camera parameters, can be estimated using the linear least-squares technique, in order to minimize the discrepancy between the reference points and the model-driven flat-beam. This technique requires, however, that a rough estimate of camera orientation, as well as a number of reference points, are provided. Experiments employing both computer simulations and actual CCD equipment certified that the model proposed can accurately describe the system, and that the parameter estimation is robust against noise.
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Toyohiko HAYASHI, Rika KUSUMI, Michio MIYAKAWA, "Calibration of Linear CCD Cameras Used in the Detection of the Position of the Light Spot" in IEICE TRANSACTIONS on Information,
vol. E76-D, no. 8, pp. 912-918, August 1993, doi: .
Abstract: This paper presents a technique by which any linear CCD camera, be it one with lens distortions, or even one with misaligned lens and CCD, may be calibrated to obtain optimum performance characteristics. The camera-image formation model is described as a polynomial expression, which provides the line-of-sight flat-beam, including the target light-spot. The coefficients of the expression, which are referred to as camera parameters, can be estimated using the linear least-squares technique, in order to minimize the discrepancy between the reference points and the model-driven flat-beam. This technique requires, however, that a rough estimate of camera orientation, as well as a number of reference points, are provided. Experiments employing both computer simulations and actual CCD equipment certified that the model proposed can accurately describe the system, and that the parameter estimation is robust against noise.
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_8_912/_p
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@ARTICLE{e76-d_8_912,
author={Toyohiko HAYASHI, Rika KUSUMI, Michio MIYAKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Calibration of Linear CCD Cameras Used in the Detection of the Position of the Light Spot},
year={1993},
volume={E76-D},
number={8},
pages={912-918},
abstract={This paper presents a technique by which any linear CCD camera, be it one with lens distortions, or even one with misaligned lens and CCD, may be calibrated to obtain optimum performance characteristics. The camera-image formation model is described as a polynomial expression, which provides the line-of-sight flat-beam, including the target light-spot. The coefficients of the expression, which are referred to as camera parameters, can be estimated using the linear least-squares technique, in order to minimize the discrepancy between the reference points and the model-driven flat-beam. This technique requires, however, that a rough estimate of camera orientation, as well as a number of reference points, are provided. Experiments employing both computer simulations and actual CCD equipment certified that the model proposed can accurately describe the system, and that the parameter estimation is robust against noise.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Calibration of Linear CCD Cameras Used in the Detection of the Position of the Light Spot
T2 - IEICE TRANSACTIONS on Information
SP - 912
EP - 918
AU - Toyohiko HAYASHI
AU - Rika KUSUMI
AU - Michio MIYAKAWA
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 1993
AB - This paper presents a technique by which any linear CCD camera, be it one with lens distortions, or even one with misaligned lens and CCD, may be calibrated to obtain optimum performance characteristics. The camera-image formation model is described as a polynomial expression, which provides the line-of-sight flat-beam, including the target light-spot. The coefficients of the expression, which are referred to as camera parameters, can be estimated using the linear least-squares technique, in order to minimize the discrepancy between the reference points and the model-driven flat-beam. This technique requires, however, that a rough estimate of camera orientation, as well as a number of reference points, are provided. Experiments employing both computer simulations and actual CCD equipment certified that the model proposed can accurately describe the system, and that the parameter estimation is robust against noise.
ER -