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Analysis and Compensation for Lateral Chromatic Aberration in a Color Coding Structured Light 3D Measurement System

机译:彩色编码结构光3D测量系统中横向色差的分析和补偿

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While color-coding methods have improved the measuring efficiency of a structured light three-dimensional (3D) measurement system, they decreased the measuring accuracy significantly due to lateral chromatic aberration (LCA). In this study, the LCA in a structured light measurement system is analyzed, and a method is proposed to compensate the error caused by the LCA. Firstly, based on the projective transformation, a 3D error map of LCA is constructed in the projector images by using a flat board and comparing the image coordinates of red, green and blue circles with the coordinates of white circles at preselected sample points within the measurement volume. The 3D map consists of the errors, which are the equivalent errors caused by LCA of the camera and projector. Then in measurements, error values of LCA are calculated and compensated to correct the projector image coordinates through the 3D error map and a tri-linear interpolation method. Eventually, 3D coordinates with higher accuracy are re-calculated according to the compensated image coordinates. The effectiveness of the proposed method is verified in the following experiments.
机译:尽管颜色编码方法提高了结构光三维(3D)测量系统的测量效率,但由于横向色差(LCA),它们显着降低了测量精度。在这项研究中,分析了结构光测量系统中的LCA,并提出了一种补偿由LCA引起的误差的方法。首先,基于投影变换,通过使用平板并在测量范围内预先选择的采样点上将红色,绿色和蓝色圆圈的图像坐标与白色圆圈的坐标进行比较,在投影仪图像中构建了LCA的3D误差图。卷。 3D地图包含错误,这些错误是由照相机和投影仪的LCA引起的等效错误。然后在测量中,通过3D误差图和三线性插值方法计算并补偿LCA的误差值,以校正投影仪的图像坐标。最终,根据补偿后的图像坐标重新计算出精度更高的3D坐标。在以下实验中验证了该方法的有效性。

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