Weakly Supervised Depth Estimation for 3D Imaging with Single Camera Fringe Projection Profilometry [PDF]
SensorsFringe projection profilometry (FPP) is widely used for high-accuracy 3D imaging. However, employing multiple sets of fringe patterns ensures 3D reconstruction accuracy while inevitably constraining the measurement speed.
Chunqian Tan, Wanzhong Song
doaj +2 more sources
Single-Model Self-Recovering Fringe Projection Profilometry Absolute Phase Recovery Method Based on Deep Learning [PDF]
SensorsA drawback of fringe projection profilometry (FPP) is that it is still a challenge to perform efficient and accurate high-resolution absolute phase recovery with only a single measurement.
Xu Li +5 more
doaj +2 more sources
Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection [PDF]
Sensors, 2022 Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its advantages of high accuracy, non-contact, and full-field scanning.
Jinglei Wang +7 more
doaj +2 more sources
A Phase Retrieval Method for 3D Shape Measurement of High-Reflectivity Surface Based on π Phase-Shifting Fringes [PDF]
Sensors, 2023 Fringe projection profilometry (FPP) has been widely used for 3D reconstruction, surface measurement, and reverse engineering. However, if the surface of an object has a high reflectivity, overexposure can easily occur.
Yanjun Zhang, Junhua Sun
doaj +2 more sources
Single-Shot Multi-Frequency 3D Shape Measurement for Discontinuous Surface Object Based on Deep Learning [PDF]
Micromachines, 2023 It is challenging to stably and rapidly achieve accurate absolute phase retrieval for isolated objects with a single-shot pattern in fringe projection profilometry (FPP).
Min Xu +4 more
doaj +2 more sources
Fringe Projection Profilometry Based on Saturated Fringe Restoration in High Dynamic Range Scenes [PDF]
Sensors, 2023 In high dynamic scenes, fringe projection profilometry (FPP) may encounter fringe saturation, and the phase calculated will also be affected to produce errors.
Hongru Li +7 more
doaj +2 more sources
A Clustered Adaptive Exposure Time Selection Methodology for HDR Structured Light 3D Reconstruction [PDF]
SensorsFringe projection profilometry (FPP) has been widely applied in industrial 3D measurement due to its high precision and non-contact advantages. However, FPP often encounters measurement problems with high-dynamic-range objects, consequently impacting ...
Zhuang Li, Rui Ma, Shuyu Duan
doaj +2 more sources
Time-Distributed Framework for 3D Reconstruction Integrating Fringe Projection with Deep Learning [PDF]
Sensors, 2023 In recent years, integrating structured light with deep learning has gained considerable attention in three-dimensional (3D) shape reconstruction due to its high precision and suitability for dynamic applications.
Andrew-Hieu Nguyen, Zhaoyang Wang
doaj +2 more sources
Deep learning-based high dynamic range 3D reconstruction [PDF]
Scientific ReportsThree-dimensional (3D) reconstruction based on fringe projection profilometry (FPP) is a crucial technique for capturing surface topography in high-precision industrial manufacturing.
Yifan Wang
doaj +2 more sources
Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis [PDF]
Sensors, 2023 Fringe projection profilometry (FPP) is prone to phase unwrapping error (PUE) due to phase noise and measurement conditions. Most of the existing PUE-correction methods detect and correct PUE on a pixel-by-pixel or partitioned block basis and do not make
Zhuang Lv +8 more
doaj +2 more sources