272 citations · 313 across the 3 of their papers we have counts for
5 papers
Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement
Jiaming Qian, Shijie Feng, Tianyang Tao +4
Fringe projection profilometry (FPP) is one of the most popular three-dimensional (3D) shape measurement techniques, and has becoming more prevalently adopted in intelligent manufa…
Temporal phase unwrapping using deep learning
Wei Yin, Qian Chen, Shijie Feng +5
The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase unwrapping algorithm for fringe projection profilometry (FPP), is capable of eliminating the pha…
Microscopic 3D measurement of shiny surfaces based on a multi-frequency phase-shifting scheme
Yan Hu, Qian Chen, Yichao Liang +3
Microscopic fringe projection profilometry is a powerful 3D measurement technique with a theoretical measurement accuracy better than one micron provided that the measured targets…
Fringe pattern analysis using deep learning
Shijie Feng, Qian Chen, Guohua Gu +5
In many optical metrology techniques, fringe pattern analysis is the central algorithm for recovering the underlying phase distribution from the recorded fringe patterns. Despite e…
Micro Fourier Transform Profilometry (FTP): 3D shape measurement at 10,000 frames per second
Chao Zuo, Tianyang Tao, Shijie Feng +3
Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects t…