Camera-Projector Calibration Methods with Compensation of Geometric Distortions in Fringe Projection Profilometry: A Comparative Study

Vargas, Raúl; Marrugo, Andrés G.; Pineda, Jesús; Meneses, Jaime; Romero, Lenny A.

doi:10.7149/opa.51.3.50305

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…Usually, the continuous phase needs to be unwrapped for FPP by phase unwrapping algorithms [2]. Through the continuous phase obtained above, the 3D shape of object can be calculated by combining with calibration parameters discussed in [30,31]. Generally, three-step phase-shifting algorithm and four-step phase-shifting algorithm with equal phase-shifting are widely used in 3D shape measurement [2].…”

Section: Principle Of Fringe Projection Profilometrymentioning

confidence: 99%

Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement

Xue

et al. 2019

Sensors

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Three-dimensional measurement with fringe projection sensor has been commonly researched. However, the measurement accuracy and efficiency of most fringe projection sensors are still seriously affected by image saturation and the non-linear effects of the projector. In order to solve the challenge, in conjunction with the advantages of stereo vision technology and fringe projection technology, an adaptive binocular fringe dynamic projection method is proposed. The proposed method can avoid image saturation by adaptively adjusting the projection intensity. Firstly, the flowchart of the proposed method is explained. Then, an adaptive optimal projection intensity method based on multi-threshold segmentation is introduced to adjust the projection illumination. Finally, the mapping relationship of binocular saturation point and projection point is established by binocular transformation and left camera–projector mapping. Experiments demonstrate that the proposed method can achieve higher accuracy for high dynamic range measurement.

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Section: Principle Of Fringe Projection Profilometrymentioning

confidence: 99%

Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement

Xue

et al. 2019

Sensors

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“…The fringe images are processed independently to obtain two 3D reconstructions via Fourier Transform Profilometry [27, 28], as shown in Fig 2(C). The 3D reconstructions are automatically merged in a global coordinate system through a previous calibration [29]. Notice that the wheals are included in the topography, but to measure them accurately the global surface has to be removed.…”

Section: D Imaging Systemmentioning

confidence: 99%

Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting

Pineda¹,

Vargas²,

Romero³

et al. 2019

PLoS ONE

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The conventional reading of the skin prick test (SPT) for diagnosing allergies is prone to inter- and intra-observer variations. Drawing the contours of the skin wheals from the SPT and scanning them for computer processing is cumbersome. However, 3D scanning technology promises the best results in terms of accuracy, fast acquisition, and processing. In this work, we present a wide-field 3D imaging system for the 3D reconstruction of the SPT, and we propose an automated method for the measurement of the skin wheals. The automated measurement is based on pyramidal decomposition and parametric 3D surface fitting for estimating the sizes of the wheals directly. We proposed two parametric models for the diameter estimation. Model 1 is based on an inverted Elliptical Paraboloid function, and model 2 on a super-Gaussian function. The accuracy of the 3D imaging system was evaluated with validation objects obtaining transversal and depth accuracies within ± 0.1 mm and ± 0.01 mm, respectively. We tested the method on 80 SPTs conducted in volunteer subjects, which resulted in 61 detected wheals. We analyzed the accuracy of the models against manual reference measurements from a physician and obtained that the parametric model 2 on average yields diameters closer to the reference measurements (model 1: -0.398 mm vs. model 2: -0.339 mm) with narrower 95% limits of agreement (model 1: [-1.58, 0.78] mm vs. model 2: [-1.39, 0.71] mm) in a Bland-Altman analysis. In one subject, we tested the reproducibility of the method by registering the forearm under five different poses obtaining a maximum coefficient of variation of 5.24% in the estimated wheal diameters. The proposed method delivers accurate and reproducible measurements of the SPT.

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“…Accurate 3D shape measurement with Fringe Projection Profilometry (FPP) requires proper calibration [1][2][3]. Currently, most calibration procedures in FPP rely on phase-coordinate mapping (PCM) or stereo vision (SV) methods [4][5][6]. PCM techniques relate experimental XYZ metric coordinates to phase values using polynomial [7,8] or rational [9][10][11] fitting functions.…”

Section: Introductionmentioning

confidence: 99%

“…The calibration process can be carried out using arbitrarily placed 2D targets, resulting in a more flexible calibration procedure [15]. However, it is known that lens distortions introduce significant errors in the SV model 3D reconstruction [6,16]. Several strategies have been proposed to compensate for the projector and camera lens distortions to improve accuracy.…”

Section: Introductionmentioning

confidence: 99%

Hybrid calibration procedure for fringe projection profilometry based on stereo vision and polynomial fitting

et al. 2020

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The key to accurate 3D shape measurement in Fringe Projection Profilometry (FPP) is the proper calibration of the measurement system. Current calibration techniques rely on phase-coordinate mapping (PCM) or back-projection stereo-vision (SV) methods. PCM methods are cumbersome to implement as they require precise positioning of the calibration target relative to the FPP system but produce highly accurate measurements within the calibration volume. SV methods generally do not achieve the same accuracy level. However, the calibration is more flexible in that the calibration target can be arbitrarily positioned. In this work, we propose a hybrid calibration method that leverages the SV calibration approach using a PCM method to achieve higher accuracy. The method has the flexibility of SV methods, is robust to lens distortions, and has a simple relation between the recovered phase and the metric coordinates. Experimental results show that the proposed Hybrid method outperforms the SV method in terms of accuracy and reconstruction time due to its low computational complexity.

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Camera-Projector Calibration Methods with Compensation of Geometric Distortions in Fringe Projection Profilometry: A Comparative Study

Cited by 9 publications

References 16 publications

Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement

Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement

Robust automated reading of the skin prick test via 3D imaging and parametric surface fitting

Hybrid calibration procedure for fringe projection profilometry based on stereo vision and polynomial fitting

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