Nonlinearity calibrating algorithm for structured light illumination

Kai Liu; Shuaijun Wang; Daniel L. Lau; Kenneth E. Barner; Fouad Kiamilev

doi:10.1117/1.OE.53.5.050501

Nonlinearity calibrating algorithm for structured light illumination

Kai Liu, Shuaijun Wang, Daniel L. Lau, Kenneth E. Barner, Fouad Kiamilev

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

In structured light illumination (SLI), the nonlinear distortion of the optical devices dramatically ruins accuracy of three-dimensional reconstruction when using only a small number of projected patterns. We propose a universal algorithm to calibrate these device nonlinearities to accurately precompensate the patterns. Thus, no postprocessing is needed to correct for the distortions while the number of patterns can be reduced down to as few as possible. Theoretically, the proposed method can be applied to any SLI pattern strategy. Using a three-pattern SLI method, our experimental results will show a 25× to 60× reduction in surface variance for a flat target, depending upon any surface smoothing that might be applied to remove Gaussian noise.

Original language	English
Article number	050501
Journal	Optical Engineering
Volume	53
Issue number	5
DOIs	https://doi.org/10.1117/1.OE.53.5.050501
State	Published - May 2014

Bibliographical note

Funding Information:
This work was sponsored, in part, by the research startup funding of Sichuan University, China, under contract #2082204164059, and by the Science and Technology Support Program of Sichuan Province, China, under contract #2014GZ0005.

Keywords

nonlinear distortion
precompensating
structured light

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.OE.53.5.050501

Cite this

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abstract = "In structured light illumination (SLI), the nonlinear distortion of the optical devices dramatically ruins accuracy of three-dimensional reconstruction when using only a small number of projected patterns. We propose a universal algorithm to calibrate these device nonlinearities to accurately precompensate the patterns. Thus, no postprocessing is needed to correct for the distortions while the number of patterns can be reduced down to as few as possible. Theoretically, the proposed method can be applied to any SLI pattern strategy. Using a three-pattern SLI method, our experimental results will show a 25× to 60× reduction in surface variance for a flat target, depending upon any surface smoothing that might be applied to remove Gaussian noise.",

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AU - Lau, Daniel L.

AU - Barner, Kenneth E.

AU - Kiamilev, Fouad

N1 - Funding Information: This work was sponsored, in part, by the research startup funding of Sichuan University, China, under contract #2082204164059, and by the Science and Technology Support Program of Sichuan Province, China, under contract #2014GZ0005.

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AB - In structured light illumination (SLI), the nonlinear distortion of the optical devices dramatically ruins accuracy of three-dimensional reconstruction when using only a small number of projected patterns. We propose a universal algorithm to calibrate these device nonlinearities to accurately precompensate the patterns. Thus, no postprocessing is needed to correct for the distortions while the number of patterns can be reduced down to as few as possible. Theoretically, the proposed method can be applied to any SLI pattern strategy. Using a three-pattern SLI method, our experimental results will show a 25× to 60× reduction in surface variance for a flat target, depending upon any surface smoothing that might be applied to remove Gaussian noise.

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Nonlinearity calibrating algorithm for structured light illumination

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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