A ball-target-based extrinsic calibration technique for high-accuracy 3-D metrology using off-the-shelf laser-stripe sensors
A ball-target-based extrinsic calibration technique for high-accuracy 3-D metrology using off-the-shelf laser-stripe sensors
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DOI：
10.1016/s0141-6359(00)00031-3
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发表时间：
2000-07-01
影响因子：
3.6
通讯作者：
Ni, J
中科院分区：
文献类型：
--
作者：
Che, CG;Ni, J
提出了一种基于球靶的三维多轴结构光（激光条纹）扫描系统的非本征标定方法。标定涉及到在传感器更换或系统初始设置时，在测量系统的工作空间内扫描一个物理伪影（球靶）。基于从倾斜传感器坐标系到正交坐标系的变换中只有8个独立参数的事实，提出了一种约束优化标定算法。切片插值算法用于识别共轭对。通过校准，通常非正交偏斜的传感器框架可以与笛卡尔世界框架相关。使用四球目标的实验研究表明，所提出的校准技术的有效性。如球目标的半径所反映的，图像的形状失真在18.93 mm范围内从平均1.44 mm减小到0.04 mm。如球中心之间的距离所反映的，在90 mm范围内，尺寸变形从平均4.28 mm减小到0.07 mm。(C)2000 Elsevier Science Inc. All rights reserved.
This paper presents a ball-target-based method for the extrinsic calibration of a three-dimensional (3-D), multiple-axis, structured-light (laser-stripe) scanning system. The calibration involves the scanning of a physical artifact (a ball-target) in the working volume of the measurement system whenever a change of sensor occurs or during initial system setup, Based on the fact that there are only eight independent parameters in the transformation from the skewed sensor frame to an orthogonal reference frame, a constrained optimization calibration algorithm is developed. A slice-interpolation algorithm is used to identify the conjugate pairs. Through calibration, the usually nonorthogonal skewed sensor frame can be related to a Cartesian world frame. Experimental studies using a tetra-ball target demonstrate the effectiveness of the proposed calibration technique. As reflected by the radii of the ball target, the shape distortion of the image was reduced from an average of 1.44 to 0.04 mm over an 18.93-mm range. As reflected by the distances between the centers of the balls, the dimensional distortion was reduced from an average of 4.28 to 0.07 mm over a 90-mm range. (C) 2000 Elsevier Science Inc. All rights reserved.