In this paper, a real-time, dynamic three-dimensional (3D) shape reconstruction scheme based on the Fourier-transform profilometry (FTP) method is achieved with a short-wave infrared (SWIR) indium gallium arsenide (InGaAs) camera for monitoring applications in low illumination environments. A SWIR 3D shape reconstruction system is built for generating and acquiring the SWIR two-dimensional (2D) fringe pattern of the target. The depth information of the target is reconstructed by employing an improved FTP method, which has the advantages of high reconstruction accuracy and speed. The maximum error in depth for static 3D shape reconstruction is 1.15 mm for a plastic model with a maximum depth of 36 mm. Meanwhile, a real-time 3D shape reconstruction with a frame rate of 25 Hz can be realized by this system, which has great application prospects in real-time dynamic 3D shape reconstruction, such as low illumination monitoring. In addition, for real-time dynamic 3D shape reconstruction, without considering the edge areas, the maximum error in depth among all frames is 1.42 mm for a hemisphere with a depth of 35 mm, and the maximum error of the average of all frames in depth is 0.52 mm.

中文翻译：

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使用SWIR InGaAs摄像机进行实时动态3D形状重建。

本文利用短波红外（SWIR）砷化铟镓（InGaAs）摄像机实现了基于傅里叶变换轮廓法（FTP）的实时，动态三维（3D）形状重构方案在低照度环境中的应用。建立了SWIR 3D形状重建系统，用于生成和获取目标的SWIR二维（2D）条纹图案。采用改进的FTP方法对目标的深度信息进行重构，具有重构精度高，速度快的优点。对于最大深度为36 mm的塑料模型，静态3D形状重建的最大深度误差为1.15 mm。同时，通过该系统可以实现帧频为25 Hz的实时3D形状重建，在低照度监控等实时动态3D形状重构中具有广阔的应用前景。另外，对于实时动态3D形状重建，不考虑边缘区域，对于深度为35 mm的半球，所有帧之间的最大深度误差为1.42 mm，而对于35mm深度的半球，其最大误差为平均值。深度为0.52毫米。