[AIS7/VHF6-3L] Gesture Classification of Single-Pixel-Imaging Reconstruction by Using Deep Learning | Proceedings of the International Display Workshops Volume 28 (IDW '21)

Proceedings of the International Display Workshops Volume 28 (IDW '21)

Dec 1 - Dec 3, 2021Virtual Conference

Back

Proceedings of the International Display Workshops Volume 28 (IDW '21)

Dec 1 - Dec 3, 2021Virtual Conference

[AIS7/VHF6-3L]Gesture Classification of Single-Pixel-Imaging Reconstruction by Using Deep Learning

*Hiroki Takatsuka¹(1.Utsunomiya University (Japan))

https://doi.org/10.36463/idw.2021.1053

Download PDF

Keywords:

single-pixel imaging,deep learning,gesture classification

We report classification of images reconstructed with different number of masks using single pixel imaging. The target images to be classified are hand gestures (rock, scissors, paper). Deep learning based on LeNet is used for classification. Images that were reconstructed with single-pixel imaging by use of with 400 or more masks were accurately classified by 90% or more.

Back