dc.contributor.author | Liu, Xinwei | |
dc.contributor.author | Pedersen, Marius | |
dc.contributor.author | Charrier, Christophe | |
dc.contributor.author | Bours, Patrick | |
dc.date.accessioned | 2019-01-25T14:41:58Z | |
dc.date.available | 2019-01-25T14:41:58Z | |
dc.date.created | 2018-08-10T08:48:44Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | IS&T International Symposium on Electronic Imaging Science and Technology. 2018, 369-1-369-6. | nb_NO |
dc.identifier.issn | 2470-1173 | |
dc.identifier.uri | http://hdl.handle.net/11250/2582438 | |
dc.description.abstract | Color provides important information and features for face recognition. Different color spaces possess different characteristics and are suitable for different applications. In this paper, we propose to investigate how different color space components influence the performance of degraded face recognition. Towards this goal, nine color space components are selected for the evaluation. In addition, four different types of image-based degradations are applied to face image samples in order to discover the impact on the performance of face recognition. The experimental results show that, all selected color components have similar influence to the performance of face recognition system depend on the acquisition devices and the experimental setups. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Society for Imaging Science & Technology | nb_NO |
dc.title | Study on color space for the performance of degraded face image recognition | nb_NO |
dc.title.alternative | Study on color space for the performance of degraded face image recognition | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 369-1-369-6 | nb_NO |
dc.source.journal | IS&T International Symposium on Electronic Imaging Science and Technology | nb_NO |
dc.identifier.doi | 10.2352/ISSN.2470-1173.2018.07.MWSF-369 | |
dc.identifier.cristin | 1600887 | |
dc.description.localcode | This article will not be available due to copyright restrictions (c) 2018 by Society for Imaging Science & Technology | nb_NO |
cristin.unitcode | 194,0,0,0 | |
cristin.unitcode | 194,63,10,0 | |
cristin.unitcode | 194,63,30,0 | |
cristin.unitname | Norges teknisk-naturvitenskapelige universitet | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.unitname | Institutt for informasjonssikkerhet og kommunikasjonsteknologi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |