Hybrid calibration procedure for fringe projection profilometry based on stereo vision and polynomial fitting

2020 ◽  
Vol 59 (13) ◽  
pp. D163 ◽  
Author(s):  
Raúl Vargas ◽  
Andres G. Marrugo ◽  
Song Zhang ◽  
Lenny A. Romero
Keyword(s):  
Stereo Vision ◽  
Calibration Procedure ◽  
Fringe Projection ◽  
Polynomial Fitting ◽  
Fringe Projection Profilometry

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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