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3D Object Retrieval Using Ray Casting

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dc.contributor.authorLee, Jun tae-
dc.contributor.authorKim, Jae hyup-
dc.contributor.authorMoon, Young Shik-
dc.date.accessioned2021-06-23T19:02:57Z-
dc.date.available2021-06-23T19:02:57Z-
dc.date.issued2007-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43253-
dc.description.abstractIn this paper, we propose a new descriptor for 3D model retrieval based on shape information. The proposed method consists of two steps including ray casting method and spherical harmonic function, considering geometric properties of model. In the ray casting method, an adaptive sampling is performed for external shape information. By increasing shape information included in the descriptor, we improve the discriminating power of the proposed descriptor. The coefficients of spherical harmonic function are adaptively calculated, considering geometric frequency characteristics. This makes the descriptor more compact and concise without decreasing the retrieval performance. By combining two methods, we achieve more improved retrieval results.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.title3D Object Retrieval Using Ray Casting-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ICCIT.2007.281-
dc.identifier.bibliographicCitationThe 2007 International Conference on Convergence Information Technology, pp 7 - 12-
dc.citation.titleThe 2007 International Conference on Convergence Information Technology-
dc.citation.startPage7-
dc.citation.endPage12-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/4420229?arnumber=4420229&SID=EBSCO:edseee-
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