OIST - Optical Imaging and Sensing Technology
  • M. Miscuglio (US) George Washington University

TuB3.4 - FOURIER OPTICS COPROCESSOR FOR IMAGE PROCESSING AND CONVOLUTIONAL NEURAL NETWORK

Presentation Type
Contributed Submission
Authors
  • M. Miscuglio (US) George Washington University
  • V. Sorger (US) The George Washington University
  • J. George (US) George Washington
  • Z. Hu (US) George Washington University, ECE
Date
08/20/2019
Time
01:15 PM - 03:15 PM
Room
Sandpiper C/D
Duration
15 Minutes
Lecture Time
02:30 PM - 02:45 PM

Abstract

Abstract

Convolution Neural Networks (CNN) are artificial networks able to extract features from large dataset by spatial filtering. Here we propose an optical coprocessor able to perform large image filtering and convolutions based on a two stage 4F system and digital micromirror arrays, outperforming current architectures.

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