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A Calibration Method Based on Multi-Linear Structured Light

机译:一种基于多线性结构光的校准方法

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摘要

The mathematical model is established for a vision system including a camera and a multi-linear structured light sensor. In the model, a novel calibration method is proposed to calibrate multi-linear structured light using a coplanar reference target. In order to calibrate all structured light planes, firstly the two of those should be calibrated according to points on the coplanar reference target in different positions. In the model, the camera coordinate is considered as a global world coordinate, and all local world coordinates are transformed to the camera coordinate, so that all points can be reconstructed in the camera coordinate. In this way, when a camera and a light sensor are fixed together as a vision system, the whole system can be moved freely and easily, which is useful in engineering applications. In addition, a new algorithm to calculate cross ratio is presented, which decreases amount of calculation and improves the calculation precision effectively. Compared to similar technologies, the model decreases the cost of calibration equipment, simplifies the calibration procedure and improves the calculation precision. Experimental results show its convenience and effectiveness.
机译:为视觉系统建立数学模型,包括相机和多线性结构光传感器。在该模型中,提出了一种新颖的校准方法来使用共面参考目标校准多线性结构光。为了校准所有结构的光平面,首先,两者应该根据相应位置的共面参考目标的点校准。在模型中,相机坐标被认为是全局世界坐标,并且所有本地世界坐标都转换为相机坐标,以便在相机坐标中重建所有点。通过这种方式,当相机和光传感器作为视觉系统固定在一起时,整个系统可以自由且轻松地移动,这在工程应用中可用。另外,提出了一种计算横幂的新算法,这减少了计算量,从而有效地提高了计算精度。与类似的技术相比,该模型降低了校准设备的成本,简化了校准程序并提高了计算精度。实验结果表明了其便利性和有效性。

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