Paper
16 October 2019 High-accuracy disparity acquisition using the phase-shift method and the fringe pattern stereo matching network
Author Affiliations +
Proceedings Volume 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019); 112051R (2019) https://doi.org/10.1117/12.2542240
Event: Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019, Phuket, Thailand
Abstract
For disparity information acquisition tasks, phase-shift profilometry can achieve high disparity accuracy, but it is a stereo matching technique based on phase unwrapping. The phase unwrapping depends on the fringe pattern of multifrequency. Recent work also shows that deep learning can obtain disparity from a stereo pair of images, but it is difficult to obtain high accuracy. To tackle these problems, we propose a stereo matching method of obtaining high-accuracy disparity using a combination of the fringe pattern stereo matching network and the phase-shift method. First, the coarse disparity is obtained by using the fringe pattern stereo matching network, and then the wrapped phase map obtained by the 3 steps phase-shift method is used to optimize the coarse disparity to obtain a high-accuracy disparity map. This method rectifies the left and right fringe patterns in advance and eliminates the influence of the calibration parameters without loss of generality. It also avoids the challenge of phase unwrapping compared with phase-shift profilometry. We prove that the sinusoidal fringe pattern stereo matching can obtain a better coarse disparity effect than the stereo matching of the texture image, especially in the textureless area. Experiments show that high-precision disparity can be obtained with only three frames of high-frequency fringe patterns.
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Zhongzhi Zhang M.D., Xupeng Wei M.D., Guanliang Zhang M.D., Tao Yang, and Xiang Zhou "High-accuracy disparity acquisition using the phase-shift method and the fringe pattern stereo matching network", Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051R (16 October 2019); https://doi.org/10.1117/12.2542240
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KEYWORDS
Fringe analysis

Cameras

Phase shifts

3D metrology

Feature extraction

Network architectures

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