dc.contributor.author | Liu, Xinwei | |
dc.contributor.author | Charrier, Christophe | |
dc.contributor.author | Pedersen, Marius | |
dc.contributor.author | Bours, Patrick | |
dc.date.accessioned | 2020-02-04T08:46:08Z | |
dc.date.available | 2020-02-04T08:46:08Z | |
dc.date.created | 2019-10-03T08:46:19Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | IS&T International Symposium on Electronic Imaging Science and Technology. 2019, 528-1-528-6. | nb_NO |
dc.identifier.issn | 2470-1173 | |
dc.identifier.uri | http://hdl.handle.net/11250/2639453 | |
dc.description.abstract | The accuracy of face recognition systems is significantly affected by the quality of face sample images. There are many existing no-reference image quality metrics (IQMs) that are able to assess natural image quality by taking into account similar image-based quality attributes. Previous study showed that IQMs can assess face sample quality according to the biometric system performance. In addition, re-training an IQM can improve its performance for face biometric images. However, only one database was used in the previous study, and it contains only image-based distortions. In this paper, we propose to extend the previous study by use multiple face database including FERET color face database, and apply multiple setups for the re-training process in order to investigate how the re-training process affect the performance of no-reference image quality metric for face biometric images. The experimental results show that the performance of the appropriate IQM can be improved for multiple databases, and different re-training setups can influence the IQM’s performance. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Society for Imaging Science and Technology | nb_NO |
dc.title | How re-training process affect the performance of no-reference image quality metric for face images | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 528-1-528-6 | nb_NO |
dc.source.journal | IS&T International Symposium on Electronic Imaging Science and Technology | nb_NO |
dc.identifier.doi | 10.2352/ISSN.2470-1173.2019.5.MWSF-528 | |
dc.identifier.cristin | 1733284 | |
dc.relation.project | Norges forskningsråd: 221073 | nb_NO |
dc.description.localcode | This article will not be available due to copyright restrictions (c) 2019 by Society for Imaging Science and Technology | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitcode | 194,63,30,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.unitname | Institutt for informasjonssikkerhet og kommunikasjonsteknologi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |