Embedded face detection implementation
Zusammenfassung
In this communication an embedded implementation of the Viola-Jones face detection algorithm targeting low frequency, low memory, and low power
consumption, is presented. The design methodology, performance analysis and algorithm optimization in order to accelerate the face detection process, will be described. The resulted implementation is platform independent and achieves on average a 3 times detection speed up.
- Vollständige Referenz
- BibTeX
Acasandrei, L. & Barriga, A.,
(2013).
Embedded face detection implementation.
In:
Brömme, A. & Busch, C.
(Hrsg.),
BIOSIG 2013.
Bonn:
Gesellschaft für Informatik e.V..
(S. 257-264).
@inproceedings{mci/Acasandrei2013,
author = {Acasandrei, Laurentiu AND Barriga, Angel},
title = {Embedded face detection implementation},
booktitle = {BIOSIG 2013},
year = {2013},
editor = {Brömme, Arslan AND Busch, Christoph} ,
pages = { 257-264 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Acasandrei, Laurentiu AND Barriga, Angel},
title = {Embedded face detection implementation},
booktitle = {BIOSIG 2013},
year = {2013},
editor = {Brömme, Arslan AND Busch, Christoph} ,
pages = { 257-264 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
ISBN: 978-3-88579-606-0
ISSN: 1617-5468
Datum: 2013
Sprache:
(en)
(en)
Typ: Text/Conference Paper

