GPU-assisted real-time three dimensional shape measurement by speckle-embedded fringe

Shijie Feng; Qian Chen; Chao Zuo

doi:10.1117/12.2189691

17 July 2015 GPU-assisted real-time three dimensional shape measurement by speckle-embedded fringe

Shijie Feng, Qian Chen, Chao Zuo

Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 95242G (2015) https://doi.org/10.1117/12.2189691
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore

Abstract

This paper presents a novel two-frame method of fringe projection for real-time, accurate and unambiguous threedimensional shape measurement. One of the used frames is a speckle pattern and the other one is a composite image which is fused by that speckle image and sinusoidal fringes. The sinusoidal component is used to retrieve the wrapped phase map. The frame of the speckle is employed to remove the phase ambiguity for the reconstruction of the absolute depth. Compared with traditional multi-frequency phase-shifting methods, the proposed scheme is of much lower sensitivity to movements as the result of the reduced number of used patterns. Moreover, its measuring precision is very close to that of the phase-shifting method, which indicates the method is of high accuracy. To process data in real time, a CUDA-enabled Graphics Processing Unit (GPU) is introduced to accelerate the computations of phase and depth. With our system, measurements can be performed at 21 frames per second with a resolution of 307K points per frame.

Citation Download Citation

Shijie Feng, Qian Chen, and Chao Zuo "GPU-assisted real-time three dimensional shape measurement by speckle-embedded fringe", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95242G (17 July 2015); https://doi.org/10.1117/12.2189691

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KEYWORDS

Speckle

3D metrology

Phase shifts

Speckle pattern

3D image processing

3D image reconstruction

Digital imaging

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