| dc.contributor.author | Acasandrei, Laurentiu | |
| dc.contributor.author | Barriga, Angel | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2018-10-31T12:33:59Z | |
| dc.date.available | 2018-10-31T12:33:59Z | |
| dc.date.issued | 2013 | |
| dc.identifier.isbn | 978-3-88579-606-0 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/17677 | |
| dc.description.abstract | 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. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2013 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-212 | |
| dc.title | Embedded face detection implementation | en |
| dc.type | Text/Conference Paper | |
| dc.pubPlace | Bonn | |
| mci.reference.pages | 257-264 | |
| mci.conference.sessiontitle | Regular Research Papers | |
| mci.conference.location | Darmstadt | |
| mci.conference.date | 04.-06. September 2013 | |