Phase error analysis and compensation for nonsinusoidal waveforms in phase-shifting digital fringe projection profilometry.
By Bing Pan, Qian Kemao, Lei Huang, Anand K. Asundi. Optics Letters, 2009
327 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/68fb17c69a75a36d5c946504aced08da36bfa429
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In Computer Vision and Pattern Recognition
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Citations in the corpus
- Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review (2016, methodology): “Among these four aspects, the phase shift mis-calibration and non-sinusoidal error belong to systematic errors, which are relatively easy to tackle: the mis-calibration can be avoided by employing a digital phase shifter device, for example, the commonly used DLP or LCD video projectors; while the n”
- Comparison of Fourier transform, windowed Fourier transform, and wavelet transform methods for phase extraction from a single fringe pattern in fringe projection profilometry (2010, background): “The reliability for WFF [23] is the amplitude of the filtered fringe pattern f̄(x,y) in Eq.”
- Fringe projection techniques: Whither we are? (2010, background): “Recently, due attention has been paid by different researchers [161, 162] to compensate for the errors caused by the nonlinear gamma of the projector such as by proposing the use of pre-calibrated look up tables [163].”