scholarly journals Motion-induced error reduction by combining Fourier transform profilometry with phase-shifting profilometry

2016 ◽  
Vol 24 (20) ◽  
pp. 23289 ◽  
Author(s):  
Beiwen Li ◽  
Ziping Liu ◽  
Song Zhang
Optik ◽  
2016 ◽  
Vol 127 (19) ◽  
pp. 7565-7571 ◽  
Author(s):  
Jaroon Wongjarern ◽  
Joewono Widjaja ◽  
Porntip Chuamchaitrakool ◽  
Panomsak Meemon

2011 ◽  
Vol 83 ◽  
pp. 280-284
Author(s):  
Ming Jiang ◽  
Shu Zhang ◽  
Xiao Yuan He

Fast-starts are brief, sudden accelerations used by fish during predator-prey encounters. In this paper, a three-dimensional (3D) test and analysis method is critical to understand the function of the pectoral fin during maneuvers. An experiment method based on Fourier Transform Profilometry for 3D pectoral fin profile variety during fish maneuvers is proposed. This method was used in a carp fast-start during prey. Projecting the moiré fringes onto a carp pectoral fin it will produce the deformed fringe patterns contain 3D information. A high speed camera captures these time-sequence images. By Fourier transform, filter, inverse Fourier transform and unwrap these phase maps in 3D phase space, the complex pectoral fin profile variety were really reconstructed. The present study provides a new method to quantify the analysis of kinetic characteristic of the pectoral fin during maneuvers.


2018 ◽  
Vol 57 (4) ◽  
pp. 772 ◽  
Author(s):  
Yan Hu ◽  
Qian Chen ◽  
Yuzhen Zhang ◽  
Shijie Feng ◽  
Tianyang Tao ◽  
...  

2012 ◽  
Vol 6-7 ◽  
pp. 76-81
Author(s):  
Yong Liu ◽  
Ding Fa Huang ◽  
Yong Jiang

Phase-shifting interferometry on structured light projection is widely used in 3-D surface measurement. An investigation shows that least-squares fitting can significantly decrease random error by incorporating data from the intermediate phase values, but it cannot completely eliminate nonlinear error. This paper proposes an error-reduction method based on double three-step phase-shifting algorithm and least-squares fitting, and applies it on the temporal phase unwrapping algorithm using three-frequency heterodyne principle. Theoretical analyses and experiment results show that this method can greatly save data acquisition time and improve the precision.


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