International Center for Applied Studies in Information Technology

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    • ICASIT interns and student projects 2010 – 2021
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  • Databases developed by ICASIT interns

Face recognition

Facial Recognition System
A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.

FBI – Facial Recognition
FBI gives an overview of facial recognition from history, predominant approaches and standards overview.

How Facial Recognition System Work
Facial recognition software is based on the ability to recognize a face and then measure the various features of the face. This post explains how face recognition works.

Facebook Creates Software That Matches Faces Almost as Well as You Do
Facebook is working on facial recognition technology that is almost as accurate as human identification.

The Limits of Facial Recognition
This article describes the limitation of facial recognition.

Facial Recognition
Website with new stories about facial recognition.

Facial Recognition Technology Sparks Privacy Concerns
Facial recognition can bring benefits for us, but it also addresses privacy problem.

Contact Us

If you would like to know more about us, contact Steve Ruth (703) 993-1789 or ruth@gmu.edu.
ICASIT intern develops  data base for hospice volunteers

Internet for the world: Mason center, professor celebrate 25 years of connecting the rural and the poor

“Geek” Center Celebrates 25th Birthday

Professor Ruth’s op ed on AI and Robotics, “We should fear AI”

Examples of ICASIT Activities

ICASIT’s new study of E-Learning instructor demographics (2017-2018)

ICASIT’s new databases for 2016

ICASIT to study MOOCs in 2013

ICASIT becomes Telework Study Center

ICASIT's new research site expanded

Six Powerful Stories from ICASIT's Egypt Project

ICASIT DB 2007 Launched

ICASIT Site Receives Five Star Rating

Other ICASIT NEWS

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