1 July 1992 Improved accuracy in laser triangulation by variance-stabilizing transformations
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The definition of laser triangulation imaging is above all restricted by speckle noise corrupting the signals of the widely used CCD-line or matrix sensors. Speckle noise can be reduced by certain optical means or signal processing. In the field of signal processing for laser triangulation, a lot of different interpolation approaches are in common use. Regarding laser triangulation imaging as a stochastic process the variance of the corrupted data can be stabilized using principal component analysis. Subsequent nonlinear regressions yield a remarkable improvement in accuracy. The approach can be recommended if the data set is consistent and the required additional number crunching power can be provided in real time.
Hendrik Rothe, Hendrik Rothe, Mario Tuerschmann, Mario Tuerschmann, Peter P. Mager, Peter P. Mager, Rainer Endter, Rainer Endter, } "Improved accuracy in laser triangulation by variance-stabilizing transformations," Optical Engineering 31(7), (1 July 1992). https://doi.org/10.1117/12.57691 . Submission:

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