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Proceedings Paper

Holographic vision system based on non-diffractive optical scanning holography and deep learning
Author(s): P. W. M. Tsang; H. Lam
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Paper 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%.

Paper Details

Date Published: 18 November 2019
PDF: 6 pages
Proc. SPIE 11188, Holography, Diffractive Optics, and Applications IX, 111880F (18 November 2019); doi: 10.1117/12.2537764
Show Author Affiliations
P. W. M. Tsang, City Univ. of Hong Kong (Hong Kong, China)
H. Lam, City Univ. of Hong Kong (Hong Kong, China)


Published in SPIE Proceedings Vol. 11188:
Holography, Diffractive Optics, and Applications IX
Yunlong Sheng; Changhe Zhou; Liangcai Cao, Editor(s)

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