Automatic 3-D Measurement Method for Nonuniform Moving Objects

Phase-shifting profilometry (PSP) via sequential fringe projection is applicable for high-accuracy 3-D measurements of static objects. However, moving objects cannot be static or quasi-static during one projection cycle, thereby causing surface misalignment and phase errors in 3-D measurements. This...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement Vol. 70; pp. 1 - 11
Main Authors: Duan, Minghui, Jin, Yi, Chen, Huaian, Zheng, Jinjin, Zhu, Changan, Chen, Enhong
Format: Journal Article
Language:English
Published: New York IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">In situ 3-D shape measurements
Algorithms
Correlation
Displacement measurement
Feature extraction
Forecasting
Frequency-domain analysis
Image registration
Measurement methods
Misalignment
Moving object recognition
Phase measurement
phase-shifting profilometry (PSP)
Pixels
Principal component analysis
Static objects
subpixel fringe image registration
surface misalignment and phase errors
ISSN:0018-9456, 1557-9662
Online Access:Get full text
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Summary:Phase-shifting profilometry (PSP) via sequential fringe projection is applicable for high-accuracy 3-D measurements of static objects. However, moving objects cannot be static or quasi-static during one projection cycle, thereby causing surface misalignment and phase errors in 3-D measurements. This article proposes a motion-estimated PSP based on the fringe-oriented synthetic phase correlation algorithm (FO-SPCA), which achieves automatic 3-D measurements of objects in nonuniform 2-D motion. To robustly estimate the motion of objects among fringe images, the proposed fringe-oriented feature extraction technique obtains the surface features by eliminating the modulation influence of sinusoidal illumination. Furthermore, the FO-SPCA is developed to accurately detect the subpixel displacements of moving objects according to object surface features. With the subpixel displacements, the alignment procedure is completed through a reverse 2-D transformation and then the phase errors are compensated accordingly. The simulation and experimental results verify the feasibility and robustness of the motion-estimated PSP for the in situ 3-D measurements of nonuniform moving objects.
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ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2021.3106119