Nonlinearity calibrating algorithm for structured light illumination

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

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


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 languageEnglish
Article number050501
JournalOptical Engineering
Issue number5
StatePublished - 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.


  • nonlinear distortion
  • precompensating
  • structured light

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (all)


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