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ICVS
2009
Springer

FaceL: Facile Face Labeling

12 years 4 months ago
FaceL: Facile Face Labeling
FaceL is a simple and fun face recognition system that labels faces in live video from an iSight camera or webcam. FaceL presents a window with a few controls and annotations displayed over the live video feed. The annotations indicate detected faces, positions of eyes, and after training, the names of enrolled people. Enrollment is video based, capturing many images per person. FaceL does a good job of distinguishing between a small set of people in fairly uncontrolled settings and incorporates a novel incremental training capability. The system is very responsive, running at over 10 frames per second on modern hardware. FaceL is open source and can be downloaded from http://pyvision.sourceforge.net/facel.
David S. Bolme, J. Ross Beveridge, Bruce A. Draper
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICVS
Authors David S. Bolme, J. Ross Beveridge, Bruce A. Draper
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