Structural light 3D reconstruction algorithm based on deep learning

Haibin Niu; Limin Hu; Yan Shi; Lei Ning; Yang Yang; Hongyao Liang; Tengbiao Song

doi:10.1117/12.2537560

18 November 2019 Structural light 3D reconstruction algorithm based on deep learning

Haibin Niu, Limin Hu, Yan Shi, Lei Ning, Yang Yang, Hongyao Liang, Tengbiao Song

Proceedings Volume 11187, Optoelectronic Imaging and Multimedia Technology VI; 111871F (2019) https://doi.org/10.1117/12.2537560
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China

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.

Citation Download Citation

Haibin Niu, Limin Hu, Yan Shi, Lei Ning, Yang Yang, Hongyao Liang, and Tengbiao Song "Structural light 3D reconstruction algorithm based on deep learning", Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871F (18 November 2019); https://doi.org/10.1117/12.2537560

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