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Open AccessArticle

Three-Dimensional Measurement Method of Four-View Stereo Vision Based on Gaussian Process Regression

Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, 99 Shangda Road, Shanghai 200444, China
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Sensors 2019, 19(20), 4486; https://doi.org/10.3390/s19204486
Received: 23 September 2019 / Revised: 14 October 2019 / Accepted: 14 October 2019 / Published: 16 October 2019
(This article belongs to the Collection Multi-Sensor Information Fusion)
Multisensor systems can overcome the limitation of measurement range of single-sensor systems, but often require complex calibration and data fusion. In this study, a three-dimensional (3D) measurement method of four-view stereo vision based on Gaussian process (GP) regression is proposed. Two sets of point cloud data of the measured object are obtained by gray-code phase-shifting technique. On the basis of the characteristics of the measured object, specific composite kernel functions are designed to obtain the initial GP model. In view of the difference of noise in each group of point cloud data, the weight idea is introduced to optimize the GP model, which is the data fusion based on Bayesian inference method for point cloud data. The proposed method does not require strict hardware constraints. Simulations for the curve and the high-order surface and experiments of complex 3D objects have been designed to compare the reconstructing accuracy of the proposed method and the traditional methods. The results show that the proposed method is superior to the traditional methods in measurement accuracy and reconstruction effect. View Full-Text
Keywords: multisensor system; Gaussian process regression; Bayesian reasoning method multisensor system; Gaussian process regression; Bayesian reasoning method
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MDPI and ACS Style

Gong, M.; Zhang, Z.; Zeng, D.; Peng, T. Three-Dimensional Measurement Method of Four-View Stereo Vision Based on Gaussian Process Regression. Sensors 2019, 19, 4486. https://doi.org/10.3390/s19204486

AMA Style

Gong M, Zhang Z, Zeng D, Peng T. Three-Dimensional Measurement Method of Four-View Stereo Vision Based on Gaussian Process Regression. Sensors. 2019; 19(20):4486. https://doi.org/10.3390/s19204486

Chicago/Turabian Style

Gong, Miao; Zhang, Zhijiang; Zeng, Dan; Peng, Tao. 2019. "Three-Dimensional Measurement Method of Four-View Stereo Vision Based on Gaussian Process Regression" Sensors 19, no. 20: 4486. https://doi.org/10.3390/s19204486

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