scholarly journals High-frequency color-encoded fringe-projection profilometry based on geometry constraint for large depth range

2020 ◽  
Vol 28 (9) ◽  
pp. 13043
Author(s):  
Yingying Wan ◽  
Yiping Cao ◽  
Xinran Liu ◽  
Tianyang Tao ◽  
Jonathan Kofman
Keyword(s):  
High Frequency ◽  
Fringe Projection ◽  
Depth Range ◽  
Large Depth ◽  
Fringe Projection Profilometry

Nonlinear calibration for generalized fringe projection profilometry under large measuring depth range

2013 ◽  
Vol 52 (32) ◽  
pp. 7718 ◽  
Author(s):  
Feipeng Zhu ◽  
Hongjian Shi ◽  
Pengxiang Bai ◽  
Dong Lei ◽  
Xiaoyuan He
Keyword(s):  
Fringe Projection ◽  
Depth Range ◽  
Fringe Projection Profilometry ◽  
Nonlinear Calibration

scholarly journals Investigation of Phase Pattern Modulation for Digital Fringe Projection Profilometry

2020 ◽  
Vol 20 (1) ◽  
pp. 43-49
Author(s):  
Cheng-Yang Liu ◽  
Chung-Yi Wang
Keyword(s):  
Three Dimensional ◽  
Phase Shifting ◽  
Fringe Projection ◽  
Depth Range ◽  
Digital Fringe Projection ◽  
Great Possibility ◽  
Fringe Patterns ◽  
Pattern Modulation ◽  
Profile Reconstruction ◽  
Fringe Projection Profilometry

AbstractThe fringe projection profilometry with sinusoidal patterns based on phase-shifting algorithms is commonly distorted by the nonlinear intensity response of commercial projector. In order to solve this issue, sinusoidal width modulation is presented to generate binary sinusoidal patterns for defocusing the projection. However, the residual errors in the phase maps are usually notable for highly accurate three-dimensional shape measurements. In this paper, we propose the fringe patterns of the sinusoidal, square, and triangular periodic waveforms with seven-step phase-shifting algorithm to further improve the accuracy of three-dimensional profile reconstruction. The absolute phase values are calculated by using quality guided path unwrapping. We learn that by properly selecting fringe patterns according to the target shape, the undesired harmonics of the measured surface have negligible effect on the phase values. The experiments are presented to verify the imaging performances of three fringe patterns for different testing targets. The triangular fringe patterns are suitable for the shape measurements of complex targets with curved surfaces. The results provide a great possibility for high-accuracy shape measurement technique with wider measuring depth range.

Multisensor registration using phase matching for large-scale fringe projection profilometry

Measurement ◽  
2021 ◽  
Vol 182 ◽  
pp. 109675
Author(s):  
Huijie Zhao ◽  
Chenghao Liu ◽  
Hongzhi Jiang ◽  
Xudong Li
Keyword(s):  
Large Scale ◽  
Fringe Projection ◽  
Phase Matching ◽  
Fringe Projection Profilometry

A new phase to height model in fringe projection profilometry by considering radial distortion of camera lens

Optik ◽  
2021 ◽  
pp. 167895
Author(s):  
Jong-Chol Kang ◽  
Chol-Su Kim ◽  
Il-Jun Pak ◽  
Ju-Ryong Son ◽  
Chol-Sun Kim
Keyword(s):  
Fringe Projection ◽  
Camera Lens ◽  
Radial Distortion ◽  
New Phase ◽  
Height Model ◽  
Fringe Projection Profilometry

Some practical considerations in fringe projection profilometry

2010 ◽  
Vol 48 (2) ◽  
pp. 218-225 ◽  
Author(s):  
Zhaoyang Wang ◽  
Dung A. Nguyen ◽  
John C. Barnes
Keyword(s):  
Fringe Projection ◽  
Fringe Projection Profilometry

scholarly journals Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Parsa Omidi ◽  
Mohamadreza Najiminaini ◽  
Mamadou Diop ◽  
Jeffrey J. L. Carson
Keyword(s):  
Spatial Resolution ◽  
Fringe Pattern ◽  
Three Dimensional ◽  
Fringe Projection ◽  
Video Frame ◽  
Single Shot ◽  
Shot Detection ◽  
Fringe Patterns ◽  
Fringe Projection Profilometry ◽  
Multispectral Camera

AbstractSpatial resolution in three-dimensional fringe projection profilometry is determined in large part by the number and spacing of fringes projected onto an object. Due to the intensity-based nature of fringe projection profilometry, fringe patterns must be generated in succession, which is time-consuming. As a result, the surface features of highly dynamic objects are difficult to measure. Here, we introduce multispectral fringe projection profilometry, a novel method that utilizes multispectral illumination to project a multispectral fringe pattern onto an object combined with a multispectral camera to detect the deformation of the fringe patterns due to the object. The multispectral camera enables the detection of 8 unique monochrome fringe patterns representing 4 distinct directions in a single snapshot. Furthermore, for each direction, the camera detects two π-phase shifted fringe patterns. Each pair of fringe patterns can be differenced to generate a differential fringe pattern that corrects for illumination offsets and mitigates the effects of glare from highly reflective surfaces. The new multispectral method solves many practical problems related to conventional fringe projection profilometry and doubles the effective spatial resolution. The method is suitable for high-quality fast 3D profilometry at video frame rates.

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