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Please use this identifier to cite or link to this item: https://doi.org/10.1109/MMMC.2005.39
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dc.titleFeature combination and relevance feedback for 3D model retrieval
dc.contributor.authorAtmosukarto, I.
dc.contributor.authorLeow, W.K.
dc.contributor.authorHUANG ZHIYONG
dc.date.accessioned2014-07-04T03:12:57Z
dc.date.available2014-07-04T03:12:57Z
dc.date.issued2005
dc.identifier.citationAtmosukarto, I., Leow, W.K., HUANG ZHIYONG (2005). Feature combination and relevance feedback for 3D model retrieval. Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005 : 334-339. ScholarBank@NUS Repository. https://doi.org/10.1109/MMMC.2005.39
dc.identifier.isbn0769521649
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/78146
dc.description.abstractRetrieval of 3D models have attracted much research interest, and many types of shape features have been proposed. In this paper, we describe a novel approach of combining the feature types for 3D model retrieval and relevance feedback processing.Our approach performs query processing using pre-computed pairwise distances between objects measured according to various feature types. Experimental tests show that this approach performs better than retrieval by individual feature type. © 2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/MMMC.2005.39
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/MMMC.2005.39
dc.description.sourcetitleProceedings of the 11th International Multimedia Modelling Conference, MMM 2005
dc.description.page334-339
dc.identifier.isiut000227346700045
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