DSpace at KISTKIST Conference Paper2014

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dc.contributor.authorLee, Hyunho-
dc.contributor.authorKim, Jaehun-
dc.contributor.authorKim, Chulki-
dc.contributor.authorLee, Taikjin-
dc.contributor.authorLee, Seok-
dc.contributor.authorHur, Soojung-
dc.contributor.authorSeo, Minah-
dc.date.accessioned2024-01-19T12:07:53Z-
dc.date.available2024-01-19T12:07:53Z-
dc.date.created2022-03-01-
dc.date.issued2014-06-
dc.identifier.issn2158-3994-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/115347-
dc.description.abstractThis paper proposed recognizing methods of the indoor objects for the vision-based indoor navigation using the smartphone camera without using an image database. It is better realizable and cost-effective system than conventional system which uses an image database. In this proposed approach, we define the metrics to recognize indoor objects.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleObject Recognition for Vision-based Navigation in Indoor Environments without using Image Database-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation18th IEEE International Symposium on Consumer Electronics (ISCE)-
dc.citation.title18th IEEE International Symposium on Consumer Electronics (ISCE)-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceSOUTH KOREA-
dc.citation.conferenceDate2014-06-22-
dc.relation.isPartOf18TH IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE 2014)-
dc.identifier.wosid000361020200182-
dc.identifier.scopusid2-s2.0-84907381508-
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