Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Dynamic shape measurement for objects with patterns by Fourier fringe projection profilometry based on variational decomposition and multi-scale Retinex

Not Accessible

Your library or personal account may give you access

Abstract

In practical measurement, we often need to measure the shape of objects with patterns or letters. As far as we know, no paper has ever reported the shape measurement for objects with patterns or letters by Fourier fringe projection profilometry (FPP). In this paper, we propose a method based on the variational decomposition ${\rm TV} \!-\! {\rm Hilbert} \!-\! {{\rm L}^2}$ model and multi-scale Retinex (MSR) to measure the shape of objects with patterns and letters by Fourier FPP. In this method, we first use the ${\rm TV} \!-\! {\rm Hilbert}\!-\!{{\rm L}^2}$ model to obtain the fringe part, then perform MSR enhancement on the fringe part, and finally decompose the enhanced fringe part with ${\rm TV} \!-\! {\rm Hilbert} \!-\! {{\rm L}^2}$ again. We evaluate the performance of this method via application to one computer-simulated noisy fringe projection pattern and two experimental fringe projection patterns with different types of patterns or letters, and comparison with the Fourier transform method, the variational image decomposition ${\rm TV} \!-\! {\rm Hilbert} \!-\! {{\rm L}^2}$ model. Furthermore, we apply the proposed method to the dynamic three-dimensional shape measurement of hand posture with pattern. The experimental results show that our method can effectively measure the dynamic shape of objects with patterns or letters from a single-frame fringe projection pattern.

© 2021 Optical Society of America

Full Article  |  PDF Article
More Like This
Method with high accuracy for phase retrieval in Fourier FPP based on the modified FCM and variational image decomposition

Qi Zhao, Chen Tang, Min Xu, and Zhenkun Lei
J. Opt. Soc. Am. A 38(12) 1783-1792 (2021)

Variational image decomposition model TGV-Hilbert-BM3D for phase retrieval in FPP and its application for an on-site wall surface bulge

Nian Hong, Chen Tang, Min Xu, Jianming Li, and Zhenkun Lei
Appl. Opt. 61(10) 2733-2742 (2022)

Fringe-projection profilometry based on two-dimensional empirical mode decomposition

Suzhen Zheng and Yiping Cao
Appl. Opt. 52(31) 7648-7653 (2013)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Data Availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (7)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (27)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Metrics

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved