rtftr - Real Time Face Tracking and Recognition
Project Description: Real time face tracking and recognition refers to the task of locating human faces in a video stream and identifying the faces by matching them against the database of known faces. There are two novel techniques that are being tested in RTFTR: Study the effect of using two or more face extraction/recognition algorithms, in parallel, on overall accuracy of tracking/recognition
LFW Face Database : Main
On October 29th at ICCV 2019 in Seoul, the creators of LFW were honored with the Mark Everingham Award for service to the Computer Vision Community. Thanks to all that have participated in making LFW a success! New results page: We have recently updated and changed the format and content of our results page. Please refer to the new technical report for details of the changes. Labeled Faces in the
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PyVision Computer Vision Toolkit
https://www.heinz.cmu.edu/~acquisti/face-recognition-study-FAQ/
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The Machine Perception Toolbox: Introduction
