Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40193
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dc.title3D model retrieval with morphing-based geometric and topological feature maps
dc.contributor.authorYu, M.
dc.contributor.authorAtmosukarto, I.
dc.contributor.authorLeow, W.K.
dc.contributor.authorHUANG ZHIYONG
dc.contributor.authorXu, R.
dc.date.accessioned2013-07-04T07:58:45Z
dc.date.available2013-07-04T07:58:45Z
dc.date.issued2003
dc.identifier.citationYu, M., Atmosukarto, I., Leow, W.K., HUANG ZHIYONG, Xu, R. (2003). 3D model retrieval with morphing-based geometric and topological feature maps. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2 : II/656-II/661. ScholarBank@NUS Repository.
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40193
dc.description.abstractRecent advancement in 3D digitization techniques have prompted to the need for 3D object retrieval. Our method of comparing 3D objects for retrieval is based on 3D morphing. It computes, for each 3D object, two spatial feature maps that describe the geometry and topology of the surface patches on the object, while preserving the spatial information of the patches in the maps. The feature maps capture the amount of effort required to morph a 3D object into a canonical sphere, without performing explicit 3D morphing. Fourier transforms of the feature maps are used for object comparison so as to achieve invariant retrieval under arbitrary rotation, reflection, and non-uniform scaling of the objects. Experimental results show that our method of retrieving 3D models is very accurate, achieving a precision of above 0.86 even at a recall rate of 1.0.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.volume2
dc.description.pageII/656-II/661
dc.description.codenPIVRE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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