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An improved measurement method for large aviation part based on spatial constraint calibration and compression extraction

机译:基于空间约束校准和压缩提取的大型航空部的改进测量方法

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An accurate measurement of large aviation part plays a key role in the assembly of aircraft. However, due to the limitation of spatial size, a calibration with large field of view and an accurate surface measurement of large part is hard to achieve. In this paper, an improved measurement method with spatial constraint calibration method and feature compression extraction method is proposed. Firstly, based on the proposed spatial constraint calibration method, the vision system is conveniently and precisely calibrated by using the designed SBA and SLT. Images of scanning laser stripes are captured by the calibrated cameras, simultaneously. Then the proposed feature compression extraction method is adopted to accurately extract centers of laser stripes. Finally, based on the binocular vision principle, the surface of part is reconstructed. The accuracy of proposed calibration method is verified in the lab. The results of the measurement of a standard part show the validity and precision of the proposed method.
机译:大型航空部件的准确测量在飞机组装中起着关键作用。然而,由于空间尺寸的限制,具有大视野的校准和大部分的精确表面测量是难以实现的。本文提出了一种具有空间约束校准方法和特征压缩提取方法的改进的测量方法。首先,基于所提出的空间约束校准方法,通过使用设计的SBA和SLT方便且精确地校准视觉系统。扫描激光条纹的图像同时由校准的相机捕获。然后采用所提出的特征压缩提取方法来准确提取激光条纹的中心。最后,基于双目视觉原理,重建部分表面。在实验室中验证了所提出的校准方法的准确性。标准部分的测量结果显示了该方法的有效性和精度。

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