Combination of facial landmarks for robust eye localization using the discriminative generalized Hough transform
| dc.contributor.author | Hahmann, Ferdinand | |
| dc.contributor.author | Böer, Gordon | |
| dc.contributor.author | Schramm, Hauke | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Busch, Christoph | |
| dc.date.accessioned | 2018-10-31T12:33:58Z | |
| dc.date.available | 2018-10-31T12:33:58Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | The Discriminative Generalized Hough Transform (DGHT) is a general and robust automated object localization method, which has been shown to achieve state-of-the-art success rates in different application areas like medical image analysis and person localization. In this contribution the framework is enhanced by a novel facial landmark combination technique which is theoretically introduced and evaluated for an eye localization task on a public database. The technique applies individually trained DGHT models for the localization of different facial landmarks, combines the obtained Hough spaces into a 3D feature matrix and applies a specifically trained higher-level DGHT model for the final localization based on the given features. In addition to that, the framework is further improved by a task-specific multi-level approach which adjusts the zooming-in strategy with respect to relevant structures and confusable objects. With the new system it was possible to increase the iris localization rate from 96.6% to 97.9% on 3830 evaluation images. This result is promising, since the variation of the head pose in the database is quite large and the applied error measure considers the worst of a left and right eye localization attempt. | en |
| dc.identifier.isbn | 978-3-88579-606-0 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/17672 | |
| 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 | Combination of facial landmarks for robust eye localization using the discriminative generalized Hough transform | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 38 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 27 | |
| gi.conference.date | 04.-06. September 2013 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
Dateien
Originalbündel
1 - 1 von 1