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Compressive Classification via Deep Learning using Single-pixel Measurements

Abstract: 

Single-pixel camera (SPC) captures encoded projections of the scene in a unique detector such that the number of compressive projections is lower than the size of the image. Traditionally, classification is not performed in the compressive domain because it is necessary to recover the underlying image before to classification. Based on the success of Deep Learning (DL) in classification approaches, this paper proposes to classify images using compressive measurements of SPC. Furthermore, the proposed DL approach designs the binary sensing matrix in the SPC to improve the classification accuracy. In particular, a whole neural network is trained to learn the SPC sensing matrix, in the first layer, and extracts features from the single-pixel compressive measurements. The proposed approach overcomes two approaches of the state-of-the-art in terms of classification accuracy.

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Paper Details

Authors:
Jorge Bacca, Nelson Diaz, Henry Arguello
Submitted On:
25 March 2020 - 3:14pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Jorge Bacca
Session:
Posters
Document Year:
2020
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Document Files

Poster_main.pdf

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[1] Jorge Bacca, Nelson Diaz, Henry Arguello, "Compressive Classification via Deep Learning using Single-pixel Measurements", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5028. Accessed: Jul. 07, 2020.
@article{5028-20,
url = {http://sigport.org/5028},
author = {Jorge Bacca; Nelson Diaz; Henry Arguello },
publisher = {IEEE SigPort},
title = {Compressive Classification via Deep Learning using Single-pixel Measurements},
year = {2020} }
TY - EJOUR
T1 - Compressive Classification via Deep Learning using Single-pixel Measurements
AU - Jorge Bacca; Nelson Diaz; Henry Arguello
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5028
ER -
Jorge Bacca, Nelson Diaz, Henry Arguello. (2020). Compressive Classification via Deep Learning using Single-pixel Measurements. IEEE SigPort. http://sigport.org/5028
Jorge Bacca, Nelson Diaz, Henry Arguello, 2020. Compressive Classification via Deep Learning using Single-pixel Measurements. Available at: http://sigport.org/5028.
Jorge Bacca, Nelson Diaz, Henry Arguello. (2020). "Compressive Classification via Deep Learning using Single-pixel Measurements." Web.
1. Jorge Bacca, Nelson Diaz, Henry Arguello. Compressive Classification via Deep Learning using Single-pixel Measurements [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5028