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.
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