Multi-fringe projection profilometry, such as the widely used phase-shifting and temporal phase unwrapping algorithms, can achieve high accuracy and robustness in three-dimensional shape reconstruction of static objects. However, the motion of the objects will introduce errors. This paper proposes a new method to reconstruct 3D shape of rigid moving objects on an automated transmission line. First, a new pixel matching method for projected and captured images is proposed. Then, the pixel deviation caused by the motion of the objects in the three-dimensional direction is pre-detected, and the new projection fringes are obtained according to the above pixel matching. Third, the new projection fringes are binarized and the projector is defocused to realize high-speed projection. At last, the captured fringes are offset to reconstruct 3D shape. Experimental results show that the proposed method is effective in 3D shape reconstruction of rigid moving objects.

中文翻译：

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基于多条纹投影的刚性运动物体三维测量

多条纹投影轮廓测量法，如广泛使用的相移和时间相位展开算法，可以在静态物体的三维形状重建中实现高精度和鲁棒性。然而，物体的运动会引入误差。本文提出了一种在自动传输线上重建刚性运动物体 3D 形状的新方法。首先，提出了一种用于投影和捕获图像的新像素匹配方法。然后，预先检测物体在三维方向上的运动引起的像素偏差，根据上述像素匹配得到新的投影条纹。第三，将新的投影条纹二值化，对投影机进行散焦，实现高速投影。最后，捕获的条纹被偏移以重建 3D 形状。