Valid point detection in fringe projection profilometry

Wang, Haixia; Kemao, Qian; Soon, Seah Hock

doi:10.1364/oe.23.007535

Cited by 57 publications

(28 citation statements)

References 20 publications

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“…A wrapped phase, as shown in Fig. 11(a), is obtained from a phase-shifting fringe projection profilometry system [22], measuring an elliptic object (Zone B) on a background (Zone A). The noisy Zone C is due to the shadow of the object, and it is marked off using the WFR2 quality map in advance [ Fig.…”

Section: Methodsmentioning

confidence: 99%

Snake-assisted quality-guided phase unwrapping for discontinuous phase fields

Zhao¹,

Wang²,

Kemao³

2015

Appl. Opt.

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Quality-guided phase unwrapping (QGPU) has been proven as an effective phase unwrapping method. As the QGPU assumes that the true phase map is continuous, it suffers from the discontinuity problem. To solve this problem, the windowed Fourier transform (WFT) based methods have been adopted to obtain effective quality measures. Nevertheless, in some special cases, using the quality maps from the WFT-based methods could not lead to a correct result. In this paper, we propose a method that incorporates the GVF snake model to assist the unwrapping process. This new method achieves better results than using the WFT-based methods directly in some discontinuous examples.

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Section: Methodsmentioning

confidence: 99%

Snake-assisted quality-guided phase unwrapping for discontinuous phase fields

Zhao¹,

Wang²,

Kemao³

2015

Appl. Opt.

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“…The fringe order map {̂( , )} recovered by using temporal phase unwrapping [15][16][17] can be modelled as…”

Section: A Rpca-based Fringe Order Error Correctionmentioning

confidence: 99%

“…A median filter with adaptive order is then applied to correct those identified errors. Wang, et al [16] use k-means clustering to remove background points not belonging to the object and use the empirical root mean square error of the phase values estimated from multiple-frequency measurements to detect and remove points that are too noisy. Lu, et al [17] propose a strategy to remove invalid phase values by using the fringe order gradient map (SFOGM) and an image decomposition and composition strategy.…”

Section: Introductionmentioning

confidence: 99%

Fringe Order Correction for Fringe Projection Profilometry Based on Robust Principal Component Analysis

et al. 2021

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Temporal phase unwrapping is among the most robust and efficient phase unwrapping methods in fringe projection profilometry. They can recover the fringe orders even in the presence of surface discontinuities. However, fringe order errors may occur due to phase noise and poor measurement conditions. Such errors often exhibit an impulsive nature and introduce errors to the absolute phase map. Most existing fringe order error correction methods detect and correct the errors in a pixel-by-pixel manner, which may under-utilize the correlation of the fringe orders on different pixels. In this paper, we propose a new method to cope with the fringe order errors associated with temporal phase unwrapping. By exploiting the lowrankness of the fringe order map and sparse nature of the impulsive fringe order errors, we develop a robust principal component analysis (RPCA)-based approach to remove the impulsive fringe order errors. Experiments demonstrate that the proposed method is valid in eliminating the fringe order errors.

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“…In Ref. [27], the area of interest in the captured fringe pattern image is detected, which is efficient to deal with noise and can improve the quality of reconstruction, but it is not suitable for overexposure. In Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic projection theory for fringe projection profilometry

Sheng

Zhang

2017

Appl. Opt.

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Fringe projection profilometry (FPP) has been widely used for three-dimensional reconstruction, surface measurement, and reverse engineering. However, FPP is prone to overexposure if objects have a wide range of reflectance. In this paper, we propose a dynamic projection theory based on FPP to rapidly measure the overexposed region with an attempt to conquer this challenge. This theory modifies the projected fringe image to the next better measurement based on the feedback provided by the previously captured image intensity. Experiments demonstrated that the number of overexposed points can be drastically reduced after one or two iterations. Compared with the state-of-the-art methods, our proposed dynamic projection theory measures the overexposed region quickly and effectively and, thus, broadens the applications of FPP.

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Valid point detection in fringe projection profilometry

Cited by 57 publications

References 20 publications

Snake-assisted quality-guided phase unwrapping for discontinuous phase fields

Snake-assisted quality-guided phase unwrapping for discontinuous phase fields

Fringe Order Correction for Fringe Projection Profilometry Based on Robust Principal Component Analysis

Dynamic projection theory for fringe projection profilometry

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