13 November 2024 Three-dimensional panoramic measurement based on fringe projection assisted by double-plane mirrors
Yonghong Wang, Xiaoyu Wu, Bingfei Hou, Biao Wang
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Abstract

In response to the issues of visual occlusion in single-camera fringe projection, which makes it difficult to achieve three-dimensional panoramic object shape reconstruction and complicates system calibration in multi-camera fringe projection, a new method is proposed that uses a dual-plane mirror to assist single-camera fringe projection for three-dimensional panoramic object shape reconstruction. This method is based on a coordinate transformation approach using camera-projector calibration, which utilizes the dual-plane mirror to transform from the real camera coordinate system to the virtual camera coordinate system, thereby achieving the transformation from a virtual point cloud to a real point cloud. The method is simple and easy to implement and does not require initial estimation of the initial parameters of the plane mirror, which will greatly reduce the 3D reconstruction error and improve the computational speed. Finally, experiments on stepped standard workpieces and complex-shaped objects are conducted for three-dimensional reconstruction. The experimental results show that compared with the standard gauge block, the measured average absolute error and relative error are 0.0815 mm and 0.6738685%, respectively. This method not only effectively solves the problem of visual occlusion in fringe projection but also partially addresses the issue of information loss in object reconstruction due to high surface reflectivity, providing new insights for solving the problem of high surface reflectivity on objects.

© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yonghong Wang, Xiaoyu Wu, Bingfei Hou, and Biao Wang "Three-dimensional panoramic measurement based on fringe projection assisted by double-plane mirrors," Optical Engineering 63(11), 114103 (13 November 2024). https://doi.org/10.1117/1.OE.63.11.114103
Received: 25 April 2024; Accepted: 19 October 2024; Published: 13 November 2024
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