Automatic look-up table based real-time phase unwrapping for phase measuring profilometry and optimal reference frequency selection

Jianwen Song, Daniel L. Lau, Yo Sung Ho, Kai Liu

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

For temporal phase unwrapping in phase measuring profilometry, it has recently been reported that two phases with co-prime frequencies can be absolutely unwrapped using a look-up table; however, frequency selection and table construction has been performed manually without optimization. In this paper, a universal phase unwrapping method is proposed to unwrap phase flexibly and automatically by using geometric analysis, and thus we can programmatically build a one-dimensional or two-dimensional look-up table for arbitrary two co-prime frequencies to correctly unwrap phases in real time. Moreover, a phase error model related to the defocus effect is derived to figure out an optimal reference frequency co-prime to the principal frequency. Experimental results verify the correctness and computational efficiency of the proposed method.

Original languageEnglish
Pages (from-to)13357-13371
Number of pages15
JournalOptics Express
Volume27
Issue number9
DOIs
StatePublished - Apr 29 2019

Bibliographical note

Funding Information:
National Natural Science Foundation of China (NSFC #61473198); Science and Technology Support Program of Sichuan Province, China (#2018GZ0198); Science and Technology Support Program of Chengdu City, China (#2018-YFYF-00029-GX); Intel Corporation and the National Science Foundation (1539157). Portions of this work were presented at the Emerging Digital Micromirror Device Based Systems and Applications X (SPIE Photonics West OPTO) in 2018, Universal phase unwrapping for phase measuring profilometry using geometry analysis. The contributions of Dr. Daniel L. Lau have been supported by Intel Corporation and the National Science Foundation under contract No. 1539157 and the Visual and Experiential Computing initiative. Dr. Daniel L. Lau is a Professor at the University of Kentucky and a Founder of Seikowave Inc., a private company that designs and sells structured light scanners.

Funding Information:
National Natural Science Foundation of China (NSFC #61473198); Science and Technology Support Program of Sichuan Province, China (#2018GZ0198); Science and Technology Support Program of Chengdu City, China (#2018-YFYF-00029-GX); Intel Corporation and the National Science Foundation (1539157).

Publisher Copyright:
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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