Active phase error suppression for color phase-shifting fringe projection based on hue pre-correction

2019 ◽  
Vol 118 ◽  
pp. 102-108 ◽  
Author(s):  
Yingying Wan ◽  
Yiping Cao ◽  
Cheng Chen ◽  
Yapin Wang ◽  
Guangkai Fu ◽  
...  
Keyword(s):  
Phase Error ◽  
Active Phase ◽  
Phase Shifting ◽  
Fringe Projection ◽  
Error Suppression

Blind phase error suppression for color-encoded digital fringe projection profilometry

2012 ◽  
Vol 285 (7) ◽  
pp. 1662-1668 ◽  
Author(s):  
S. Ma ◽  
R. Zhu ◽  
C. Quan ◽  
B. Li ◽  
C.J. Tay ◽  
...  
Keyword(s):  
Phase Error ◽  
Fringe Projection ◽  
Digital Fringe Projection ◽  
Fringe Projection Profilometry ◽  
Error Suppression

Phase Error Immunity Optical Measurement System

2010 ◽  
Vol 142 ◽  
pp. 194-198
Author(s):  
Wan Tao He ◽  
Xiang Lin Meng ◽  
Can Zhao
Keyword(s):  
Measurement System ◽  
Optical Measurement ◽  
Phase Error ◽  
Phase Shifting ◽  
Fringe Projection ◽  
Shape Measurement ◽  
The Real ◽  
3D Shape Measurement ◽  
Digital Fringe Projection ◽  
Vision Algorithm

In this paper, a 3D shape measurement system based on a digital fringe projection and phase-shifting technique was described. The fringe generated by a computer was projected onto the object by utilizing a digital video projector. Four steps phase shifting algorithm was used to calculate the 2π wrapping phase, and a heterodyne principle was used to unwrap the phase to obtain the real phase. Then the 3D coordinates object was calculated base on stereo vision algorithm by using the real phase as a constraint. Experiments demonstrated that the system was not sensitive to the phase error caused by the DVP’s nonlinearity.

scholarly journals Fringe Phase-Shifting Field Based Fuzzy Quotient Space-Oriented Partial Differential Equations Filtering Method for Gaussian Noise-Induced Phase Error

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5202 ◽  
Author(s):  
Yu ◽  
Ji ◽  
Xue ◽  
Wang
Keyword(s):  
Partial Differential Equations ◽  
Differential Equations ◽  
Gaussian Noise ◽  
Quotient Space ◽  
Signal To Noise Ratio ◽  
Phase Error ◽  
Phase Shifting ◽  
Signal To Noise ◽  
Partial Differential ◽  
Filtering Method

Traditional filtering methods only focused on improving the peak signal-to-noise ratio of the single fringe pattern, which ignore the filtering effect on phase extraction. Fringe phase-shifting field based fuzzy quotient space-oriented partial differential equations filtering method is proposed to reduce the phase error caused by Gaussian noise while filtering. First, the phase error distribution that is caused by Gaussian noise is analyzed. Furthermore, by introducing the fringe phase-shifting field and the theory of fuzzy quotient space, the modified filtering direction can be adaptively obtained, which transforms the traditional single image filtering into multi-image filtering. Finally, the improved fourth-order oriented partial differential equations with fidelity item filtering method is established. Experiments demonstrated that the proposed method achieves a higher signal-to-noise ratio and lower phase error caused by noise, while also retaining more edge details.

Sign in / Sign up

Export Citation Format

Share Document