Abstract
| Language | English |
|---|---|
| Pages | 1188-1199 |
| Number of pages | 11 |
| Journal | Sensors |
| Volume | 17 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 23 May 2017 |
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An Iterative Distortion Compensation Algorithm for Camera Calibration Based on Phase Target. / Xu, Yongjia; Gao, Feng; Ren, Hongyu; Zhang, Zonghua; Jiang, Xiangqian.
In: Sensors, Vol. 17, No. 6, 23.05.2017, p. 1188-1199.Research output: Contribution to journal › Article
TY - JOUR
T1 - An Iterative Distortion Compensation Algorithm for Camera Calibration Based on Phase Target
AU - Xu, Yongjia
AU - Gao, Feng
AU - Ren, Hongyu
AU - Zhang, Zonghua
AU - Jiang, Xiangqian
PY - 2017/5/23
Y1 - 2017/5/23
N2 - Camera distortion is a critical factor affecting the accuracy of camera calibration. A conventional calibration approach cannot satisfy the requirement of a measurement system demanding high calibration accuracy due to the inaccurate distortion compensation. This paper presents a novel camera calibration method with an iterative distortion compensation algorithm. The initial parameters of the camera are calibrated by full-field camera pixels and the corresponding points on a phase target. An iterative algorithm is proposed to compensate for the distortion. A 2D fitting and interpolation method is also developed to enhance the accuracy of the phase target. Compared to the conventional calibration method, the proposed method does not rely on a distortion mathematical model, and is stable and effective in terms of complex distortion conditions. Both the simulation work and experimental results show that the proposed calibration method is more than 100% more accurate than the conventional calibration method.
AB - Camera distortion is a critical factor affecting the accuracy of camera calibration. A conventional calibration approach cannot satisfy the requirement of a measurement system demanding high calibration accuracy due to the inaccurate distortion compensation. This paper presents a novel camera calibration method with an iterative distortion compensation algorithm. The initial parameters of the camera are calibrated by full-field camera pixels and the corresponding points on a phase target. An iterative algorithm is proposed to compensate for the distortion. A 2D fitting and interpolation method is also developed to enhance the accuracy of the phase target. Compared to the conventional calibration method, the proposed method does not rely on a distortion mathematical model, and is stable and effective in terms of complex distortion conditions. Both the simulation work and experimental results show that the proposed calibration method is more than 100% more accurate than the conventional calibration method.
KW - camera calibration
KW - distortion compensation
KW - phase measurement
U2 - 10.3390/s17061188
DO - 10.3390/s17061188
M3 - Article
VL - 17
SP - 1188
EP - 1199
JO - Sensors
T2 - Sensors
JF - Sensors
SN - 1424-3210
IS - 6
ER -