High-speed 3D shape measurement from noisy fringe images using deep learning

2021 ◽  
Author(s):  
Jiaye J. Wang ◽  
Yuzhen Zhang
2019 ◽  
Vol 9 (19) ◽  
pp. 4123 ◽  
Author(s):  
Haihua Zhang ◽  
Qican Zhang ◽  
Yong Li ◽  
Yihang Liu

A novel high-speed 3D shape measurement technology called temporal Fourier transform profilometry (TFTP for short) is proposed by combining the merits of Fourier transform profilometry (FTP) and phase-measuring profilometry (PMP). Instead of using the digital light projector, a mechanical projector is employed to generate multi-period phase-shifting fringe patterns sequentially. During the reconstruction process, the phase value of each pixel is calculated independently along the temporal axis and no spectrum filtering operation is performed in a spatial domain. Therefore, high-frequency components containing the detailed information of the measured object effectively remain. The proposed method is suitable for measuring isolated dynamic objects. Only one frame of deformed fringe pattern is required to retrieve one 3D shape of the measured object, so it has the obvious advantage if measuring the dynamic scene at a high speed. A low-cost self-made mechanical projector with fast projection speed is developed to execute the principle-proof experiments, whose results demonstrate the feasibility of measuring isolated dynamic objects.


2018 ◽  
Vol 26 (17) ◽  
pp. 22440 ◽  
Author(s):  
Tianyang Tao ◽  
Qian Chen ◽  
Shijie Feng ◽  
Jiaming Qian ◽  
Yan Hu ◽  
...  

2020 ◽  
Vol 315 ◽  
pp. 112366
Author(s):  
Duanmao Liu ◽  
Yinfei Pan ◽  
Rongsheng Lu

2020 ◽  
Vol 45 (7) ◽  
pp. 1842 ◽  
Author(s):  
Jiaming Qian ◽  
Shijie Feng ◽  
Yixuan Li ◽  
Tianyang Tao ◽  
Jing Han ◽  
...  

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