Accuracy Limitations Introduced by Digital Projection Sources in Profilometric Optical Metrology Systems

Baker, Matthew J.; Chicharo, J.F.; Xi, Jiangtao; Li, Enbang

doi:10.1109/commad.2004.1577540

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…In error induced by the non-sinusoidal waveforms and devise an iterative compensation algorithm taking into account the non-linearity due to the whole system, rather than the DVP effect alone. In general though, accuracy depends on the projector characteristics as a whole, as discussed in [14]. It has been demonstrated [7] that these errors can be somewhat alleviated by using a larger number of fringe patterns, however for dynamic applications requiring fast reconstruction (such as FTP and 3-step or 4-step profilometry [15,16]) the non-sinusoidal phase error is considered as the dominant error source.…”

Section: Related Workmentioning

confidence: 99%

Stable and fast techniques for unambiguous compound phase coding

Torsello

Albarelli

Rodolà

2013

Image and Vision Computing

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a b s t r a c t a r t i c l e i n f oPhase shift methods have proven to be very robust and accurate for photometric 3D reconstruction. One problem of these approaches is the existence of ambiguities arising from the periodicity of the fringe patterns. While several techniques for disambiguation exist, all of them require the projection of a significant number of additional patterns. For instance, a global Gray coding sequence or supplemental sinusoidal patterns of different periods are commonly used to complement the basic phase shift technique. In this paper we propose four new coding strategies that encode the index of the projected column using several phases and that mix the resulting phases into a controllable number of projected patterns from which the position can be recovered with subpixel precision. One notable characteristic of the proposed approaches is that we can allocate the additional number of patterns specifically to improve precision or provide higher robustness to noise. The proposed approaches are analyzed and compared with the state of the art, showing their ability to be tuned towards high precision in low noise conditions or robustness with respect to noise.

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Section: Related Workmentioning

confidence: 99%

Stable and fast techniques for unambiguous compound phase coding

Torsello

Albarelli

Rodolà

2013

Image and Vision Computing

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“…This enables the implementation of the evaluation of a point on the NURBS surface using a GPU. 1 Note that a edge-based method such as [14] could be used.…”

Section: Interpolation Of the Coefficents In The Volumementioning

confidence: 99%

“…Blurring has been identified as a significant limitation of digital projector profilometry [1]. In order to use deconvolution algorithm to improve the performance of a Structured Light System (SLS), a PSF model and well suited representations are needed.…”

Section: Introductionmentioning

confidence: 99%

Efficient representation of the variant PSF of structured light system

Drouin¹,

Godin²,

Blais³

2010

2010 IEEE International Conference on Image Processing

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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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“…Blurring was described as a significant limitation of digital projector profilometry [1] and our framework allows a significant improvement when working out of focus, a situation which occurs when performing depth measurement. Our algorithm iteratively performs a deconvolution and a segmentation of the patterns.…”

Section: Introductionmentioning

confidence: 99%