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	Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks
	S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang
	2020
发表期刊	Optics Letters
ISSN	0146-9592
卷号	45期号:1页码:204-207
摘要	In a structured-light system, lens distortion of the camera and projector is the main source of 3D measurement error. In this Letter, a new approach, to the best of our knowledge, of using deep neural networks to address this problem is proposed. The neural network consists of one input layer, five densely connected hidden layers, and one output layer. A ceramic plate with flatness less than 0.005 mm is used to acquire the training, validation, and test data sets for the network. It is shown that the measurement accuracy can be enhanced to 0.0165 mm in the RMS value by this technique, which is an improvement of 93.52%. It is also verified that the constructed neural network is with satisfactory repeatability. (C) 2019 Optical Society of America
DOI	10.1364/ol.45.000204
URL	查看原文
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/64815
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang. Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks[J]. Optics Letters,2020,45(1):204-207.
APA	S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang.(2020).Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks.Optics Letters,45(1),204-207.
MLA	S. Z. Lv,Q. Sun,Y. Y. Zhang,Y. Jiang,J. B. Yang,J. Z. Liu and J. Wang."Projector distortion correction in 3D shape measurement using a structured-light system by deep neural networks".Optics Letters 45.1(2020):204-207.

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