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High-precision on-machine 3D shape measurement using hypersurface calibration method

机译:高精度机上的3D形状测量使用超细校准方法

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We present a high-precision fringe pattern projection technique based on a novel 4D hypersurface calibration method, and its application to on-machine measurement of raw-stocks in die-making industry. Our fringe pattern projection technique has the following feature. In the calibration stage, coordinates (x, y) of a CCD image sensor correspond uniquely, for every calibration plane with height Zi (i=1,..,n), to a phase Φ of a projected fringe pattern, and coordinates (X , Y) of a machine tool. These relationships are converted to hypersurfaces in 4D spaces of (x, y, Z, Φ), (x, y, Z, X), and (x, y, Z, Y), which are considered to be a sort of function. Using these hypersurfaces, a measured data of (x, y, Φ) is transformed to machine tool coordinates (X, Y, Z). Our hypersurface calibration method is expected to minimize systematic errors, because it inputs an observed data (x, y, Φ) into precise interpolation functions created using actual measurement data, and accordingly systematic errors are cancelled. The repeatability, systematic errors, and random errors obtained from the experiment show that our measurement system has a potential for highly accurate non-contact 3D shape measurement.
机译:我们介绍了一种基于新型4D超接伤校准方法的高精度条纹图案投影技术,及其在模具制造业原料股机上测量的应用。我们的边缘图案投影技术具有以下功能。在校准阶段,CCD图像传感器的坐标(x,y)对应于具有高度zi(i = 1,n)的每个校准平面,到投影条纹图案的相位φ,以及坐标(机床x,y)。这些关系将在(x,y,z,φ),(x,y,z,x),(x,y,z,y)中(x,y,z,y)的4d空间中转换为超缺陷,这被认为是一种功能。使用这些超缺陷,将(x,y,φ)的测量数据转换为机床坐标(x,y,z)。我们的超越校准方法预计最小化系统误差,因为它将观察到的数据(x,y,φ)输入了使用实际测量数据创建的精确插值函数,因此取消了系统错误。从实验中获得的可重复性,系统误差和随机误差表明,我们的测量系统具有高精度的非接触式3D形状测量的潜力。

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