Automatic landmark detection and face recognition for side-view face images
| dc.contributor.author | Santemiz, Pinar | |
| dc.contributor.author | Spreeuwers, Luuk J. | |
| dc.contributor.author | Veldhuis, Raymond N. J. | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2018-10-31T12:34:02Z | |
| dc.date.available | 2018-10-31T12:34:02Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic sideview face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to determine their location in the house. Here, we introduce a recognition method, where we detect facial landmarks automatically for registration and identify faces. We test our system on side-view face images from CMU-Multi PIE database. We achieve 95 95% accuracy on detecting . landmarks, and 89 04% accuracy on identification. . | en |
| dc.identifier.isbn | 978-3-88579-606-0 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/17688 | |
| 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 | Automatic landmark detection and face recognition for side-view face images | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 344 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 337 | |
| gi.conference.date | 04.-06. September 2013 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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