2010 IEEE International Conference on Image Processing 2010
DOI: 10.1109/icip.2010.5649353
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Efficient representation of the variant PSF of structured light system

Abstract: This paper proposes a novel and efficient representation of the point-spread function (PSF) well suited for structured light systems used in digital profilometry. For this particular application the PSF is spatially variant over the working volume and the current parametric as well as non-parametric representations are insufficient. We validate our method using a standard data set and imagery acquired using an off-the-shelf multimedia projector and an industrial camera.

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(2 citation statements)
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“…According to the comparison of the curves corresponding to the red line position in the image in Figure 5a-c, as shown in Figure 5d, the phase error peak appears on the darker side of the texture edge and gradient edge. Then, we used Equation (12) to add M to the original phase-shifting fringe pattern to obtain a new set of scene-modulated fringe patterns:…”
Section: Scene Modulation Reprojectionmentioning
confidence: 99%
See 1 more Smart Citation
“…According to the comparison of the curves corresponding to the red line position in the image in Figure 5a-c, as shown in Figure 5d, the phase error peak appears on the darker side of the texture edge and gradient edge. Then, we used Equation (12) to add M to the original phase-shifting fringe pattern to obtain a new set of scene-modulated fringe patterns:…”
Section: Scene Modulation Reprojectionmentioning
confidence: 99%
“…In reducing the degree of defocus, the error is generally reduced by estimating the blur kernel. Li et al [11] and Drouin et al [12] reduced measurement errors by calculating the point spread function. Yue et al [13] estimated the error pixel value based on the phase values around the error pixel.…”
Section: Introductionmentioning
confidence: 99%