Spectral Analysis and Filtering of Moire Fringes Generated by Using Digital Image Processing

Lijun, 朱丽君 Zhu; Yurong, 王玉荣 Wang; Xiangfeng, 孟祥锋 Meng; Xiulun, 杨修伦 Yang; Shan, 江山 Jiang

doi:10.3788/cjl201542.1209002

中国激光

2015

DOI: 10.3788/cjl201542.1209002

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Spectral Analysis and Filtering of Moire Fringes Generated by Using Digital Image Processing

朱丽君 Zhu Lijun¹,

王玉荣 Wang Yurong²,

孟祥锋 Meng Xiangfeng³

et al.

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Real-Time Dynamic 3D Shape Reconstruction with SWIR InGaAs Camera

Fei

Jiang

et al. 2020

Sensors

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In this paper, a real-time, dynamic three-dimensional (3D) shape reconstruction scheme based on the Fourier-transform profilometry (FTP) method is achieved with a short-wave infrared (SWIR) indium gallium arsenide (InGaAs) camera for monitoring applications in low illumination environments. A SWIR 3D shape reconstruction system is built for generating and acquiring the SWIR two-dimensional (2D) fringe pattern of the target. The depth information of the target is reconstructed by employing an improved FTP method, which has the advantages of high reconstruction accuracy and speed. The maximum error in depth for static 3D shape reconstruction is 1.15 mm for a plastic model with a maximum depth of 36 mm. Meanwhile, a real-time 3D shape reconstruction with a frame rate of 25 Hz can be realized by this system, which has great application prospects in real-time dynamic 3D shape reconstruction, such as low illumination monitoring. In addition, for real-time dynamic 3D shape reconstruction, without considering the edge areas, the maximum error in depth among all frames is 1.42 mm for a hemisphere with a depth of 35 mm, and the maximum error of the average of all frames in depth is 0.52 mm.

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Real-Time Dynamic 3D Shape Reconstruction with SWIR InGaAs Camera

Fei

Jiang

et al. 2020

Sensors

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show abstract

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Spectral Analysis and Filtering of Moire Fringes Generated by Using Digital Image Processing

Cited by 1 publication

References 0 publications

Real-Time Dynamic 3D Shape Reconstruction with SWIR InGaAs Camera

Real-Time Dynamic 3D Shape Reconstruction with SWIR InGaAs Camera

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