@inproceedings{e2d9923ec57347f0926a1da92bedb833,
title = "Demonstration of the Hybrid Opto-electronic Correlator for Shift, Scale, and Rotation Invariant Target Recognition",
abstract = "We demonstrate experimentally that our proposed hybrid opto-electronic correlator is capable of detecting objects in a scale, rotation, and shift invariant manner using currently available technologies by incorporating the polar Mellin transform.",
author = "Julian Gamboa and Mohamed Fouda and Shahriar, {Selim M.}",
note = "Funding Information: To summarize, we have demonstrated that the HOC is capable of detecting objects in a shift, scale, and rotation invariant manner. When fully automated using FPGAs, VLSI chips and fast SLMs, such an HOC would be able to carry out robust image recognition in this manner at a speed much faster than what can be achieved using digital signal processing [3]. This work has been supported by AFOSR Grant No. FA9550-18-1-0359. Publisher Copyright: {\textcopyright} 2019 OSA.; 2019 Conference on Lasers and Electro-Optics, CLEO 2019 ; Conference date: 05-05-2019 Through 10-05-2019",
year = "2019",
month = may,
doi = "10.23919/CLEO.2019.8749879",
language = "English (US)",
series = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",
address = "United States",
}