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dc.contributor.author서일홍-
dc.date.accessioned2017-08-21T08:08:47Z-
dc.date.available2017-08-21T08:08:47Z-
dc.date.issued2015-11-
dc.identifier.citation2015년도 대한전자공학회 정기총회 및 추계학술대회, 2015.11, Page 415-418en_US
dc.identifier.urihttp://www.dbpia.co.kr/Article/NODE07105536-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/28662-
dc.description.abstractIn this paper, we propose a scene grouping algorithm where each resulting group can represent certain concept of a place. We consider each scene as a set of line features and calculate similarities between scenes using a vocabulary tree and TFIDF weighting scheme. Then using the scenes as nodes and their similarities as weighted edges, a similarity graph is constructed. By cutting the sparse edge parts of this graph using spectral clustering, this graph is partitioned into Ɖ groups which correspond to Ɖ places.en_US
dc.description.sponsorship본 논문은 산업통상자원부 산업융합원천기술개발사업[10044009]으로 지원된 연구결과입니다en_US
dc.language.isoko_KRen_US
dc.publisher대한전자공학회en_US
dc.title직선 및 Spectral Clustering을 사용한 장소 단위 영상 분류en_US
dc.title.alternativeIndoor Scene Grouping using Line Features and Spectral Clusteringen_US
dc.typeArticleen_US
dc.relation.page121-123-
dc.contributor.googleauthor문혜원-
dc.contributor.googleauthor이진한-
dc.contributor.googleauthor서일홍-
dc.contributor.googleauthorMoon, Hyewon-
dc.contributor.googleauthorLee, Jin Han-
dc.contributor.googleauthorSuh, Il Hong-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidihsuh-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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