An overview of hand gesture recognition in degraded environments using three-dimensional integral imaging and deep neural networks

Gokul Krishnan; Rakesh Joshi; Timothy O’ Connor; Filiberto Pla; Bahram Javidi

doi:10.1364/3D.2021.3F4A.4

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper 3F4A.4
•https://doi.org/10.1364/3D.2021.3F4A.4

An overview of hand gesture recognition in degraded environments using three-dimensional integral imaging and deep neural networks

Gokul Krishnan, Rakesh Joshi, Timothy O’ Connor, Filiberto Pla, and Bahram Javidi

3D Image Acquisition and Display: Technology, Perception and Applications 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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3D Information Processing (3F4A)

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G. Krishnan, R. Joshi, T. O. ’ Connor, F. Pla, and B. Javidi, "An overview of hand gesture recognition in degraded environments using three-dimensional integral imaging and deep neural networks," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper 3F4A.4.

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Abstract

We overview gesture recognition in degraded environments using passive three-dimensional (3D) integral imaging-based deep neural networks. The overviewed approach improves performance over conventional 2D imaging and previously reported 3D imaging-based methodologies for gesture recognition.

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