Phase-error restraint with the empirical mode decomposition method in phase measurement profilometry

Phase measurement profilometry (PMP) uses a digital projector and a camera for 3D shape measurement. However, the nonlinear response of the measurement system causes the captured perfect sinusoidal fringe patterns to become non-sinusoidal waveforms, which results in phase and measurement errors. We...

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Bibliographic Details
Published inChinese science bulletin Vol. 57; no. 14; pp. 1648 - 1654
Main Authors Wen, YongFu, Cheng, HaoBo, Gao, Ya, Zhang, HuiJing
Format Journal Article
LanguageEnglish
Published Heidelberg Springer-Verlag 01.05.2012
SP Science China Press
Subjects
cameras
Chemistry/Food Science
computer simulation
Earth Sciences
Engineering
equations
Humanities and Social Sciences
Life Sciences
material forms
measuring devices
metrology
multidisciplinary
Physics
Science
Science (multidisciplinary)
三维形状测量
数字投影仪
模式分解法
相位测量轮廓术
相位误差
经验模式分解
计算机仿真
非线性响应
phase measurement profilometry
empirical mode decomposition
fringe analysis
phase error
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ISSN1001-6538
1861-9541
DOI10.1007/s11434-012-5057-7

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Summary:Phase measurement profilometry (PMP) uses a digital projector and a camera for 3D shape measurement. However, the nonlinear response of the measurement system causes the captured perfect sinusoidal fringe patterns to become non-sinusoidal waveforms, which results in phase and measurement errors. We perform a theoretical analysis of the phase error resulting from non-sinusoidal fringe patterns. Based on a derived phase-error expression, the empirical mode decomposition (EMD) method is introduced to restrain nonlinear phase error and improve the precision in evaluating the phase distribution. A computer simulation and experimental results prove that the proposed method can eliminate possible phase-error in PMP.
Bibliography:11-1785/N
phase measurement profilometry, empirical mode decomposition, phase error, fringe analysis
Phase measurement profilometry （PMP） uses a digital projector and a camera for 3D shape measurement. However, the nonlinear response of the measurement system causes the captured perfect sinusoidal fringe patterns to become non-sinusoidal waveforms, which results in phase and measurement errors. We perform a theoretical analysis of the phase error resulting from non-sinusoidal fringe patterns. Based on a derived phase-error expression, the empirical mode decomposition （EMD） method is introduced to restrain nonlinear phase error and improve the precision in evaluating the phase distribution. A computer simulation and experi- mental results prove that the proposed method can eliminate possible phase-error in PMP.
http://dx.doi.org/10.1007/s11434-012-5057-7
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ISSN:1001-6538
1861-9541
DOI:10.1007/s11434-012-5057-7