Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1445
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dc.contributor.authorBuciu, Ioan-
dc.contributor.authorNaforniţă, Ioan-
dc.contributor.authorPitas, I.-
dc.date.accessioned2020-04-07T13:43:15Z-
dc.date.accessioned2021-03-01T08:53:46Z-
dc.date.available2020-04-07T13:43:15Z-
dc.date.available2021-03-01T08:53:46Z-
dc.date.issued2008-
dc.identifier.citationBuciu, Ioan. Facial expression recognition under noisy environment using Gabor filters. Timişoara: Editura Politehnica, 2008en_US
dc.identifier.urihttp://primo.upt.ro:1701/primo-explore/search?query=any,contains,Facial%20expression%20recognition%20under%20noisy%20environment%20using%20Gabor%20filters&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo-
dc.description.abstractFacial expression recognition is a major task concerning human-computer interaction issue. Plenty of techniques were proposed to recognize an expression either in still images or image sequences. However, most of them were applied for images recorded under controlled recording conditions. This paper aims at describing Gabor filters’ application to extract facial features required to classify facial expression when the images are disturbed by various noise levels. The experiments indicate a satisfactory performance for Gabor filters when compared to another state-of-the-art method named principal component analysis (PCA).en_US
dc.language.isoenen_US
dc.publisherTimişoara : Editura Politehnicaen_US
dc.relation.ispartofseriesSeria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008)-
dc.subjectFacial expression recognitionen_US
dc.subjectNoisy environmenten_US
dc.subjectGabor waveletsen_US
dc.titleFacial expression recognition under noisy environment using Gabor filters [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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