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High dynamic range fringe projection profilometry with binary fringes differencing demodulation

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High dynamic range fringe projection profilometry with binary fringes differencing demodulation. / Ma, Mengchao; Qin, Fushun; Jia, Yiqi et al.
In: Optics Express, Vol. 33, No. 5, 10.03.2025, p. 10965-10980.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ma, M, Qin, F, Jia, Y, Liu, L, Zhong, X, Deng, H, Gong, X & Wang, Z 2025, 'High dynamic range fringe projection profilometry with binary fringes differencing demodulation', Optics Express, vol. 33, no. 5, pp. 10965-10980. https://doi.org/10.1364/oe.551248

APA

Ma, M., Qin, F., Jia, Y., Liu, L., Zhong, X., Deng, H., Gong, X., & Wang, Z. (2025). High dynamic range fringe projection profilometry with binary fringes differencing demodulation. Optics Express, 33(5), 10965-10980. https://doi.org/10.1364/oe.551248

Vancouver

Ma M, Qin F, Jia Y, Liu L, Zhong X, Deng H et al. High dynamic range fringe projection profilometry with binary fringes differencing demodulation. Optics Express. 2025 Mar 10;33(5):10965-10980. Epub 2025 Mar 3. doi: 10.1364/oe.551248

Author

Ma, Mengchao ; Qin, Fushun ; Jia, Yiqi et al. / High dynamic range fringe projection profilometry with binary fringes differencing demodulation. In: Optics Express. 2025 ; Vol. 33, No. 5. pp. 10965-10980.

Bibtex

@article{af1ff0add8b048be866587dc96ae6748,
title = "High dynamic range fringe projection profilometry with binary fringes differencing demodulation",
abstract = "Fringe projection profilometry (FPP) using gray-scale patterns like sinusoidal stripes often encounters challenges for high dynamic range (HDR) applications. These challenges arise due to the presence of shiny surfaces or abrupt changes in reflectivity, leading to either reconstruction failure or substantial errors. We present a robust modulation and reconstruction method that divides the grayscale sinusoidal fringe into eight binary fringes and employs a differencing approach to mitigate HDR surface interference and enable demodulation, significantly reducing vulnerability to reflectivity fluctuations. The binary fringes differencing demodulation (BFDD) technique is presented to extract the relevant binary patterns from the camera images and integrate them into an 8-bit HDR gray stripe modulation. Binary modulation allows for simultaneous projection and image acquisition in just 0.2 seconds. The experimental results showed that this method achieves a remarkably high coverage rate in high-reflectivity 3D reconstruction. The method can also effectively mitigate negative impact due to abrupt changes in surface reflectivity, resulting in near-perfect ground truth consistency.",
author = "Mengchao Ma and Fushun Qin and Yiqi Jia and Li Liu and Xiang Zhong and Huaxia Deng and Xinglong Gong and Ziwei Wang",
year = "2025",
month = mar,
day = "10",
doi = "10.1364/oe.551248",
language = "English",
volume = "33",
pages = "10965--10980",
journal = "Optics Express",
issn = "1094-4087",
publisher = "Optical Society of American (OSA)",
number = "5",

}

RIS

TY - JOUR

T1 - High dynamic range fringe projection profilometry with binary fringes differencing demodulation

AU - Ma, Mengchao

AU - Qin, Fushun

AU - Jia, Yiqi

AU - Liu, Li

AU - Zhong, Xiang

AU - Deng, Huaxia

AU - Gong, Xinglong

AU - Wang, Ziwei

PY - 2025/3/10

Y1 - 2025/3/10

N2 - Fringe projection profilometry (FPP) using gray-scale patterns like sinusoidal stripes often encounters challenges for high dynamic range (HDR) applications. These challenges arise due to the presence of shiny surfaces or abrupt changes in reflectivity, leading to either reconstruction failure or substantial errors. We present a robust modulation and reconstruction method that divides the grayscale sinusoidal fringe into eight binary fringes and employs a differencing approach to mitigate HDR surface interference and enable demodulation, significantly reducing vulnerability to reflectivity fluctuations. The binary fringes differencing demodulation (BFDD) technique is presented to extract the relevant binary patterns from the camera images and integrate them into an 8-bit HDR gray stripe modulation. Binary modulation allows for simultaneous projection and image acquisition in just 0.2 seconds. The experimental results showed that this method achieves a remarkably high coverage rate in high-reflectivity 3D reconstruction. The method can also effectively mitigate negative impact due to abrupt changes in surface reflectivity, resulting in near-perfect ground truth consistency.

AB - Fringe projection profilometry (FPP) using gray-scale patterns like sinusoidal stripes often encounters challenges for high dynamic range (HDR) applications. These challenges arise due to the presence of shiny surfaces or abrupt changes in reflectivity, leading to either reconstruction failure or substantial errors. We present a robust modulation and reconstruction method that divides the grayscale sinusoidal fringe into eight binary fringes and employs a differencing approach to mitigate HDR surface interference and enable demodulation, significantly reducing vulnerability to reflectivity fluctuations. The binary fringes differencing demodulation (BFDD) technique is presented to extract the relevant binary patterns from the camera images and integrate them into an 8-bit HDR gray stripe modulation. Binary modulation allows for simultaneous projection and image acquisition in just 0.2 seconds. The experimental results showed that this method achieves a remarkably high coverage rate in high-reflectivity 3D reconstruction. The method can also effectively mitigate negative impact due to abrupt changes in surface reflectivity, resulting in near-perfect ground truth consistency.

U2 - 10.1364/oe.551248

DO - 10.1364/oe.551248

M3 - Journal article

VL - 33

SP - 10965

EP - 10980

JO - Optics Express

JF - Optics Express

SN - 1094-4087

IS - 5

ER -