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Proceedings Paper

Structural light 3D reconstruction algorithm based on deep learning
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Paper Abstract

With the powerful learning ability the neural network, fringe pattern can be effectively analyzed after calculating the phase of the fringe pattern. This paper proposes the combination algorithm of phase-shifting (PS) algorithm and structured light convolutional neural network (SL-CNN) that apply deep learning to Structural Light 3D reconstruction.

Paper Details

Date Published: 18 November 2019
PDF: 6 pages
Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871F (18 November 2019); doi: 10.1117/12.2537560
Show Author Affiliations
Haibin Niu, China Jiliang Univ. (China)
Limin Hu, Hangzhou HPWINNER Opto Corp. (China)
Yan Shi, China Jiliang Univ. (China)
Lei Ning, China Jiliang Univ. (China)
Yang Yang, China Jiliang Univ. (China)
Hongyao Liang, China Jiliang Univ. (China)
Tengbiao Song, China Jiliang Univ. (China)


Published in SPIE Proceedings Vol. 11187:
Optoelectronic Imaging and Multimedia Technology VI
Qionghai Dai; Tsutomu Shimura; Zhenrong Zheng, Editor(s)

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