Paper
16 October 2019 Flexible calibration method for fringe projection profilometry system using spheres
Jian Yu, Feipeng Da, Chenxing Wang, Shaoyan Gai
Author Affiliations +
Proceedings Volume 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019); 112051P (2019) https://doi.org/10.1117/12.2541705
Event: Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019, Phuket, Thailand
Abstract
A newly developed flexible calibration algorithm for fringe projection profilometry system is presented in this paper. Previous studies have exploited images of spheres to calibrate the camera. It is shown in this paper that this approach can be improved to suit for the projector and ultimately achieve the overall calibration of FPP (Fringe Projection Profilometry) system. Taking the projector as a virtual camera, the images of sphere contour on the projectors plane can also be obtained through the phase information. The derivation and acquisition of intrinsic parameters for projector are just the same way used in the camera. In our algorithm, at least 3 images of sphere contour on both camera and projector are obtained to calculate the homography between these two views. Then the image of the sphere and its shadow on an induced plane settled in the back of the sphere are added to recover the epipolar geometry for the FPP system. Experimental results on real data are presented, which demonstrate the feasibility and accuracy achieved by our proposed algorithm.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Yu, Feipeng Da, Chenxing Wang, and Shaoyan Gai "Flexible calibration method for fringe projection profilometry system using spheres", Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051P (16 October 2019); https://doi.org/10.1117/12.2541705
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KEYWORDS
Calibration

Cameras

Projection systems

Imaging systems

3D metrology

Stereo vision systems

3D acquisition

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