Fourier-transform profilometry calibration based on an exhaustive geometric model of the system

Zappa, Emanuele; Busca, Giorgio

doi:10.1016/j.optlaseng.2009.03.001

Cited by 35 publications

(13 citation statements)

References 40 publications

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“…Hybrid methods are slightly less complex to implement than analytical calibration approaches and remain potentially unstable. However, they provide greater accuracy in estimating the system parameters than is the case for purely analytical methods, and they give consequently more accurate measurements [9].…”

Section: Introductionmentioning

confidence: 99%

Simple and accurate empirical absolute volume calibration of a multi-sensor fringe projection system

Gdeisat

Qudeisat

AlSa׳d

et al. 2016

Optics and Lasers in Engineering

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This paper suggests a novel absolute empirical calibration method for a multi-sensor fringe projection system. The optical setup of the projector-camera sensor can be arbitrary. The term absolute calibration here means that the centre of the three dimensional coordinates in the resultant calibrated volume coincides with a preset centre to the three-dimensional real-world coordinate system. The use of a zero-phase fringe marking spot is proposed to increase depth calibration accuracy, where the spot centre is determined with sub-pixel accuracy. Also, a new method is proposed for transversal calibration. Depth and transversal calibration methods have been tested using both single sensor and three-sensor fringe projection systems. The standard deviation of the error produced by this system is 0.25 mm. The calibrated volume produced by this method is 400 mm × 400 mm × 140 mm.

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Section: Introductionmentioning

confidence: 99%

Simple and accurate empirical absolute volume calibration of a multi-sensor fringe projection system

Gdeisat

Qudeisat

AlSa׳d

et al. 2016

Optics and Lasers in Engineering

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“…However, the structured light system calibration is more challenging since the system uses a projector. Over the years, researchers have successfully developed different kinds of approaches to calibrate the system either by evaluating the exact system parameters (i.e., positions, orientations) of each device (i.e., camera, projector) [13][14][15], or by establishing equations to relate the depth value with phase information [16][17][18][19][20]. Some recent advances create pixelto-pixel correspondence between the camera and the projector using a four reference planes method [21], or using a backward ray-tracing model [22].…”

Section: Introductionmentioning

confidence: 99%

Structured light system calibration method with optimal fringe angle

Zhang

2014

Appl. Opt.

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For structured light system calibration, one popular approach is to treat the projector as an inverse camera. This is usually performed by projecting horizontal and vertical sequences of patterns to establish one-to-one mapping between camera points and projector points. However, for a well-designed system, either horizontal or vertical fringe images are not sensitive to depth variation and thus yield inaccurate mapping. As a result, the calibration accuracy is jeopardized if a conventional calibration method is used. To address this limitation, this paper proposes a novel calibration method based on optimal fringe angle determination. Experiments demonstrate that our calibration approach can increase the measurement accuracy up to 38% compared to the conventional calibration method with a calibration volume of 300(H) mm×250(W) mm×500(D) mm.

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“…These parameters include the intrinsic parameters of the camera and the projector, as well as extrinsic parameters associated with the geometrical structure of the FPP. Over the past decades, a number of approaches for system calibration are proposed, e.g., [5][6][7][8][9][10][11]. Recently in 2013, a method to calibrate five essential parameters associated with the camera and the projector is presented by Song, et al [12] .…”

Section: Introductionmentioning

confidence: 99%

Improved geometrical model of fringe projection profilometry

Huang¹,

Xi²,

Yu³

et al. 2014

Opt. Express

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The accuracy performance of fringe projection profilometry (FPP) depends on accurate phase-to-height (PTH) mapping and system calibration. The existing PTH mapping is derived based on the condition that the plane formed by axes of camera and projector is perpendicular to the reference plane, and measurement error occurs when the condition is not met. In this paper, a new geometric model for FPP is presented to lift the condition, resulting in a new PTH mapping relationship. The new model involves seven parameters, and a new system calibration method is proposed to determine their values. Experiments are conducted to verify the performance of the proposed technique, showing a noticeable improvement in the accuracy of 3D shape measurement. Disciplines Engineering | Science and Technology Studies

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Fourier-transform profilometry calibration based on an exhaustive geometric model of the system

Cited by 35 publications

References 40 publications

Simple and accurate empirical absolute volume calibration of a multi-sensor fringe projection system

Simple and accurate empirical absolute volume calibration of a multi-sensor fringe projection system

Structured light system calibration method with optimal fringe angle

Improved geometrical model of fringe projection profilometry

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