A generalized multi-sensitivity temporal phase unwrapping method for absolute phase retrieval

Xing, Y.; Quan, Chenggen; Tay, Cho Jui

doi:10.1016/j.optlastec.2017.05.026

Cited by 21 publications

(9 citation statements)

References 27 publications

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“…At present, three pitches unwrapping algorithm (TPUA), negative exponential unwrapping algorithm (NEUA) and three pitches heterodyne unwrapping algorithm (TPHUA) are widely used. TPHUA only needs three frequency fringe sequences, while ensuring higher reliability in the unwrapping stage 36 – 38 .…”

Section: Principle Of the Proposed Methodsmentioning

confidence: 99%

3-D shape reconstruction of non-uniform reflectance surface based on pixel intensity, pixel color and camera exposure time adaptive adjustment

Wang

Yang

Zhou

2021

Sci Rep

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High dynamic range 3-D shape measurement is a challenge. In this work, we propose a novel method to solve the 3-D shape reconstruction of high-reflection and colored surfaces. First, we propose a method to establish a fast pixel-level mapping between the projected image and the captured image. Secondly, we propose a color texture extraction method using a black-and-white (B/W) camera and a pixel-level projection color adjustment method. Third, we give an optimal projection fringe modulation/background intensity ratio. Fourth, we propose a method for estimating the reflectivity of the object surface and ambient light interference, and a method for adjusting the projection intensity at the pixel level and a method for estimating the optimal exposure time. Experiments show that, compared with the existing methods, the proposed method not only can obtain high-quality captured images, but also has higher measurement efficiency and wider application range.

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Section: Principle Of the Proposed Methodsmentioning

confidence: 99%

3-D shape reconstruction of non-uniform reflectance surface based on pixel intensity, pixel color and camera exposure time adaptive adjustment

Wang

Yang

Zhou

2021

Sci Rep

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“…PS and temporal phase unwrapping algorithms can achieve high accuracy and robustness in phase calculation. At least three phase-shifting fringe patterns are projected sequentially onto the object surface based on PS algorithm [9][10][11]. The ith fringe pattern can be expressed as…”

Section: A High-precision Phase Calculationmentioning

confidence: 99%

Three-Dimensional Measurement for Rigid Moving Objects Based on Multi-Fringe Projection

et al. 2020

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Multi-fringe projection profilometry, such as the widely used phase-shifting and temporal phase unwrapping algorithms, can achieve high accuracy and robustness in three-dimensional shape reconstruction of static objects. However, the motion of the objects will introduce errors. This paper proposes a new method to reconstruct 3D shape of rigid moving objects on an automated transmission line. First, a new pixel matching method for projected and captured images is proposed. Then, the pixel deviation caused by the motion of the objects in the three-dimensional direction is pre-detected, and the new projection fringes are obtained according to the above pixel matching. Third, the new projection fringes are binarized and the projector is defocused to realize high-speed projection. At last, the captured fringes are offset to reconstruct 3D shape. Experimental results show that the proposed method is effective in 3D shape reconstruction of rigid moving objects.

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Section: E High-precision Phase Calculationmentioning

confidence: 99%

3-D Shape Reconstruction of Non-Uniform Reflectance Surface Based on Pixel Intensity, Pixel Color and Camera Exposure Time Adaptive Adjustment

Wang

Yang

Zhou

2020

Preprint

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Three-dimensional (3-D) surface reconstruction of reflective objects and colored objects is a challenge. To this end, we proposed a novel approach. First, a new method of pixel matching between the projected image and the captured image is proposed. Then, we analyzed the impact of color texture and reflective surface on the captured image quality, and proposed a black-and-white (B/W) camera-based color information extraction method, an object surface reflectance and ambient light interference estimation method. Finally, the pixel color, pixel intensity and exposure time can be adaptively adjusted according to the color information and reflectivity of the measured objects. Experiments verified that the proposed method can not only obtain high-quality captured images, but also has a smaller number of additional images and a wider range of applications than existing methods.

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A generalized multi-sensitivity temporal phase unwrapping method for absolute phase retrieval

Cited by 21 publications

References 27 publications

3-D shape reconstruction of non-uniform reflectance surface based on pixel intensity, pixel color and camera exposure time adaptive adjustment

3-D shape reconstruction of non-uniform reflectance surface based on pixel intensity, pixel color and camera exposure time adaptive adjustment

Three-Dimensional Measurement for Rigid Moving Objects Based on Multi-Fringe Projection

3-D Shape Reconstruction of Non-Uniform Reflectance Surface Based on Pixel Intensity, Pixel Color and Camera Exposure Time Adaptive Adjustment

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