FaceL: Facile Face Labeling

David S. Bolme; J. Ross Beveridge; Bruce A. Draper

doi:10.1007/978-3-642-04667-4_3

FaceL: Facile Face Labeling

David S. Bolme, J. Ross Beveridge, Bruce A. Draper

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings
Pages	21-32
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-04667-4_3
State	Published - 2009
Externally published	Yes
Event	7th International Conference on Computer Vision Systems, ICVS 2009 - Liege, Belgium Duration: Oct 13 2009 → Oct 15 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5815 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computer Vision Systems, ICVS 2009
Country/Territory	Belgium
City	Liege
Period	10/13/09 → 10/15/09

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10.1007/978-3-642-04667-4_3

Cite this

Bolme, D. S., Beveridge, J. R., & Draper, B. A. (2009). FaceL: Facile Face Labeling. In Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings (pp. 21-32). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS). https://doi.org/10.1007/978-3-642-04667-4_3

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title = "FaceL: Facile Face Labeling",

abstract = "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.",

author = "Bolme, {David S.} and Beveridge, {J. Ross} and Draper, {Bruce A.}",

year = "2009",

doi = "10.1007/978-3-642-04667-4_3",

language = "English",

isbn = "3642046665",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "21--32",

booktitle = "Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings",

note = "7th International Conference on Computer Vision Systems, ICVS 2009 ; Conference date: 13-10-2009 Through 15-10-2009",

}

Bolme, DS, Beveridge, JR & Draper, BA 2009, FaceL: Facile Face Labeling. in Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5815 LNCS, pp. 21-32, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, 10/13/09. https://doi.org/10.1007/978-3-642-04667-4_3

FaceL: Facile Face Labeling. / Bolme, David S.; Beveridge, J. Ross; Draper, Bruce A.
Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. 2009. p. 21-32 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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FaceL: Facile Face Labeling

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