3D localization of point source based on light field imaging and deep learning

Shizhu Yuan; Yao Hu; Rui Cao; Chengqiang Xu; Qun Hao; Xuemin Cheng

doi:10.1117/12.2541587

12 March 2020 3D localization of point source based on light field imaging and deep learning

Shizhu Yuan, Yao Hu, Rui Cao, Chengqiang Xu, Qun Hao, Xuemin Cheng

Proceedings Volume 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 114380A (2020) https://doi.org/10.1117/12.2541587
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

3D localization of point source is widely used in many fields, such as bioimaging and autonomous driving fields. However, the localization is hard to perform under scattering conditions because of the diffuse effect of the scattering. We propose a novel method for 3D localization of point source under scattering conditions based on light field imaging and deep learning by only one shot. First, we introduce the description of the point source in a light field wise and how to localize a point source by its light field. On the basis, we elaborate on the effect of scattering on a light field and how to retrieve the location of a point source from a light field with scattering. Then, the effect of aberration on a light field will be introduced. We also build an artificial scene and a deep learning framework to perform a 3D localization practically, and the feasibility and accuracy of our method have been evaluated.

Citation Download Citation

Shizhu Yuan, Yao Hu, Rui Cao, Chengqiang Xu, Qun Hao, and Xuemin Cheng "3D localization of point source based on light field imaging and deep learning", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380A (12 March 2020); https://doi.org/10.1117/12.2541587

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