Holographic vision system based on non-diffractive optical scanning holography and deep learning

P. W. M. Tsang; H. Lam

doi:10.1117/12.2537764

18 November 2019 Holographic vision system based on non-diffractive optical scanning holography and deep learning

P. W. M. Tsang, H. Lam

Proceedings Volume 11188, Holography, Diffractive Optics, and Applications IX; 111880F (2019) https://doi.org/10.1117/12.2537764
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China

Abstract

We proposed a holographic vision system (HVS) based on a hologram acquisition and a hologram classification units, for capturing and identifying holograms of deformable objects. Non-diffractive optical scanning holography (ND-OSH) is used to capture holograms of physical objects, and a deep learning classifier is applied to deduce the identity of the hologram. Our proposed HVS is evaluated with the set of handwritten numerals. Experimental results reveal that with our proposed HVS, holograms of the test samples can be captured, and subsequently classified with accuracy of over 99.5%.

Citation Download Citation

P. W. M. Tsang and H. Lam "Holographic vision system based on non-diffractive optical scanning holography and deep learning", Proc. SPIE 11188, Holography, Diffractive Optics, and Applications IX, 111880F (18 November 2019); https://doi.org/10.1117/12.2537764

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