Material analysis with polarization holography and machine learning

Yanmin Zhu; Yuxing Li; Jianqing Huang; Jianqing Huang; Yunping Zhang; Edmund Y. Lam

doi:10.1364/3D.2023.JW2A.3

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper JW2A.3
•https://doi.org/10.1364/3D.2023.JW2A.3

Material analysis with polarization holography and machine learning

Yanmin Zhu, Yuxing Li, Jianqing Huang, Yunping Zhang, and Edmund Y. Lam

3D Image Acquisition and Display: Technology, Perception and Applications 2023

Boston, Massachusetts United States
14–17 August 2023
ISBN: 978-1-957171-28-9

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Joint Poster Session II (JW2A)

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Y. Zhu, Y. Li, J. Huang, Y. Zhang, and E. Y. Lam, "Material analysis with polarization holography and machine learning," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper JW2A.3.

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Abstract

We design a polarization holographic system to record the sample holographic images with rich polarization states, amplitude, and phase information. Material analysis and characterization are realized with machine learning. We demonstrate the system feasibility on specific microplastic material identification.

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