2009
DOI: 10.1016/j.optcom.2009.04.055
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Complex object 3D measurement based on phase-shifting and a neural network

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Cited by 42 publications
(15 citation statements)
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“…The system accuracy is improved considering the nonlinear measurement error. An accurate phase-height mapping algorithm is proposed by Z. W. Li [6] to improve the performance of the structured light system with digital fringe projection. By means of a training network, the relationship between the 2D image coordinates and the 3D object coordinates can be achieved.…”
Section: Introductionmentioning
confidence: 99%
“…The system accuracy is improved considering the nonlinear measurement error. An accurate phase-height mapping algorithm is proposed by Z. W. Li [6] to improve the performance of the structured light system with digital fringe projection. By means of a training network, the relationship between the 2D image coordinates and the 3D object coordinates can be achieved.…”
Section: Introductionmentioning
confidence: 99%
“…Compared to other methods, PSP has the advantage of high resolution, high measurement speed; less sensitive to the surface reflectivity variations and the object can be measured point by point [3].…”
Section: Introductionmentioning
confidence: 99%
“…Compared with other 3D shape measurement methods, the multi-frequency heterodyne phase shift method is one of the most widely adopted technologies, which has the advantages of high accuracy and fast measurement speed [1,2]. However, it is very difficult to generate perfect sinusoidal fringe pattern with the commercial projector due to the effect of the nonlinear gamma.…”
Section: Introductionmentioning
confidence: 99%