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dc.contributor.author문영식-
dc.date.accessioned2019-07-10T04:13:45Z-
dc.date.available2019-07-10T04:13:45Z-
dc.date.issued2007-11-
dc.identifier.citation2007 International Conference on Convergence Information Technology (ICCIT 2007), Page. 7-12en_US
dc.identifier.isbn0-7695-3038-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4420229-
dc.identifier.urihttp://repository.hanyang.ac.kr/handle/20.500.11754/107260-
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.en_US
dc.description.sponsorshipThis research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment)en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.title3D Object Retrieval Using Ray Castingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCIT.2007.281-
dc.contributor.googleauthorLee, Jun Tae-
dc.contributor.googleauthorKim, Jae Hyup-
dc.contributor.googleauthorMoon, Young Shik-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
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COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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