DC Field | Value | Language |
---|---|---|
dc.contributor.author | 한병옥 | ko |
dc.contributor.author | 홍성은 | ko |
dc.contributor.author | 양현승 | ko |
dc.date.accessioned | 2015-06-25T06:58:50Z | - |
dc.date.available | 2015-06-25T06:58:50Z | - |
dc.date.created | 2015-06-12 | - |
dc.date.issued | 2015-06 | - |
dc.identifier.citation | 대한전자공학회 하계종합학술대회 | - |
dc.identifier.uri | http://hdl.handle.net/10203/199184 | - |
dc.description.abstract | This paper describes a multi-view based robust face recognition method which overcomes variation in facial pose. Many recent researches of face recognition deal with pose variation problem, but most of those are not practical and focus on laboratory environment which is controlled for experiments. In this paper, we propose high dimensional feature for multi-view based face recognition and real-view based matching method for real world scenario. Experimental results shows that this approach is robust and can produce high accuracy in real world face recognition scenario. | - |
dc.language | Korean | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 다중시점기반 강인한 얼굴인식기법 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 대한전자공학회 하계종합학술대회 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 제주 라마다호텔 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | 양현승 | - |
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