Automatic identification and removal of outliers for high-speed fringe projection profilometry

Feng, Shijie; Chen, Qian; Zuo, Chao; Li, Rubin; Shen, Guochen; Feng, Fangxiaoyu

doi:10.1117/1.oe.52.1.013605

Cited by 47 publications

(18 citation statements)

References 14 publications

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“…To testify the proposed method, we employed our high-speed real-time 3-D measurement system [12] composed of a high-speed black and white CCD camera, a modified off-the-shelf DLP projector and a personal computer. The used camera was calibrated by the Matlab calibration toolbox [13] exploiting a black and white calibration board whose pattern is formed by 99 white circles in 11 columns and 9 rows and the coefficients of the governing equation were determined by using the Levenberg-Marquardt method.…”

Section: C C U C C V C C U C C V C C Uv Z D D D D U D D V D D U D Dmentioning

confidence: 99%

“…Therefore to cope with this issue, we determine the coordinate w z firstly and then retrieve the in-plane coordinates ( , ) To evaluate the real-time performance of the proposed method, four threads were created for data processing, one was designed for capturing input image, one for phase retrieval and 3-D reconstruction, and the remaining two for 3-D display and invalid pixel elimination [12]. Then we measured a scene with multiple objects involving a moving human hand, a static gauge block and a calibration board.…”

Section: Principlesmentioning

confidence: 99%

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Real-time 3D measurement based on structured light illumination considering camera lens distortion

Feng

Chen

Zuo³

et al. 2014

SPIE Proceedings

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Optical three-dimensional (3-D) profilometry is gaining increasing attention for its simplicity, flexibility, high accuracy, and non-contact nature. Recent advances in imaging sensors and digital projection technology further its progress in high-speed, real-time applications, enabling 3-D shapes reconstruction of moving objects and dynamic scenes. In traditional 3-D measurement system where the processing time is not a key factor, camera lens distortion correction is performed directly. However, for the time-critical high-speed applications, the time-consuming correction algorithm is inappropriate to be performed directly during the real-time process. To cope with this issue, here we present a novel high-speed real-time 3-D coordinates measuring technique based on fringe projection with the consideration of the camera lens distortion. A pixel mapping relation between a distorted image and a corrected one is pre-determined and stored in computer memory for real-time fringe correction. And a method of lookup table (LUT) is introduced as well for fast data processing. Our experimental results reveal that the measurement error of the in-plane coordinates has been reduced by one order of magnitude and the accuracy of the out-plane coordinate been tripled after the distortions being eliminated. Moreover, owing to the merit of the LUT, the 3-D reconstruction can be achieved at 92.34 frames per second.

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Section: C C U C C V C C U C C V C C Uv Z D D D D U D D V D D U D Dmentioning

confidence: 99%

Section: Principlesmentioning

confidence: 99%

Real-time 3D measurement based on structured light illumination considering camera lens distortion

Feng

Chen

Zuo³

et al. 2014

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

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“…Zhang, et al [12] propose to use optimized fringe frequencies in order to reduce fringe order errors for multi-frequency phase unwrapping algorithms. Similarly to [11], phase monotonicity is exploited together with the smoothness of the unwrapped phase map to detect invalid points by Feng, et al [13]. Huang and Asundi [14] utilize intensity modulation, errors of least-squares fitting and phase monotonicity along with appropriate thresholds to automatically detect the invalid points.…”

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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“…Because it is easier and more convenient to generate fringe patterns and project patterns with a high speed, 3D shape measurement of dynamic objects has been rapidly expanding [4,5]. However, conventional DFP technique has major limitations: the projection nonlinearity and speed bottleneck [6][7][8][9]. These shortcomings make it difficult to be applied to high-quality and high-speed 3D shape measurement.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional shape measurement of complex surfaces based on optimized dithering fringe patterns

Yang

2018

J. Eur. Opt. Soc.-Rapid Publ.

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Background: Optimized dithering fringe pattern is a promising method for high-speed, high-accuracy threedimensional shape measurement. The recently proposed dithering optimization technology optimizes the fringe quality in either phase domain or intensity domain according to their objective functions. Phase-based optimization is direct and effective, but it is sensitive to projector defocusing levels. Intensity-based optimization is robust to projector defocusing levels, but it does not fully improve the phase quality. In practice, it is difficult to control defocusing levels so it is still a challenge to get high quality fringe patterns which affects the measurement quality under different defocusing levels. Methods: In order to get high-quality binary dithered patterns which are robust to defocusing levels, this paper proposes a weight object function. This function combines two parts: a global intensity part and a local structure part. The global intensity measurement is based on the normalized mean squared error. The local structure measurement is based on residual error of intensity. To generate high quality fringe patterns, the weight object function is applied to the best patch framework. Results and discussion: Both simulation and experimental results demonstrate that the phase-based optimization method and the proposed method perform better than the intensity-based optimization method under nearly focused. However the quality of measurement results from phase-based optimization will decrease with the defoucsing levels increasing. The proposed method is robust to the defocusing levels and it can still reduce the phase error when the projector is strongly defocused. Conclusions: The proposed method can get high-quality binary dithered patterns under different defocusing levels by combining global similarity and local residual error of intensity. It inherits the merits of binary fringe pattern so that gamma calibration of projector is not required. In practice, the proposed method can be used to generate high quality fringe patterns. The experiment results verify that the proposed method can get better measurement results without considering the projector defocusing levels.

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Automatic identification and removal of outliers for high-speed fringe projection profilometry

Cited by 47 publications

References 14 publications

Real-time 3D measurement based on structured light illumination considering camera lens distortion

Real-time 3D measurement based on structured light illumination considering camera lens distortion

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

Three-dimensional shape measurement of complex surfaces based on optimized dithering fringe patterns

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