Single-shot two-channel Talbot interferometry using checker grating and Hilbert-Huang fringe pattern processing

Author(s):  
K. Patorski ◽  
M. Trusiak ◽  
K. Pokorski
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Parsa Omidi ◽  
Mohamadreza Najiminaini ◽  
Mamadou Diop ◽  
Jeffrey J. L. Carson

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.


2009 ◽  
Vol 47 (11) ◽  
pp. 1286-1292 ◽  
Author(s):  
Wenjing Gao ◽  
Qian Kemao ◽  
Haixia Wang ◽  
Feng Lin ◽  
Hock Soon Seah

2019 ◽  
Vol 58 (25) ◽  
pp. 6854 ◽  
Author(s):  
Haixia Wang ◽  
Hongxiang Zeng ◽  
Peng Chen ◽  
Ronghua Liang ◽  
Li Jiang

Fringe 2009 ◽  
2009 ◽  
pp. 1-9 ◽  
Author(s):  
Julio C. Estrada ◽  
Fernando Mendoza-Santoyo ◽  
Manuel de la Torre ◽  
Tonatihu Saucedo

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