2010 Seventh International Conference on Computer Graphics, Imaging and Visualization 2010
DOI: 10.1109/cgiv.2010.28
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The Height Variance Range for One Frequency Fringe Pattern Profilometry

Abstract: The upper limit on the deepest step of the surface shape that can be accurately determined is an important performance measure associated with the fringe projection profilometry. This metric is evaluated as the variance of height between two adjacent pixels on a fringe patterns reflected from the object surface. This paper presents novel results on this metric based on the Nyquist sampling theorem originally developed in the area of communication theory. Compared to existing results, we indicate that the fring… Show more

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Cited by 1 publication
(3 citation statements)
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References 16 publications
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“…(5) 0.088 ×pixel range= range in (mm) (6) The average of the total of 9 points are calculated and summarized as per Table 1. Tolerance= +/-0.02…”
Section: Pixel Range= Reference Point-value Obtainedmentioning
confidence: 99%
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“…(5) 0.088 ×pixel range= range in (mm) (6) The average of the total of 9 points are calculated and summarized as per Table 1. Tolerance= +/-0.02…”
Section: Pixel Range= Reference Point-value Obtainedmentioning
confidence: 99%
“…Thus the perception of 3D shape became a challenge in computer vision research [5]. In order to obtain information of the original phase maps and deformed fringe patterns several fringe pattern analysis methods have been developed by the researches, for examples, Fourier transform profilometry(FTP), phase shifting profilometry (PSP), spatial phase detection (SPD) and wavelet transform profilometry (WTP) [6].…”
Section: Introductionmentioning
confidence: 99%
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