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dc.contributor.authorHwang, T. J.en_US
dc.contributor.authorLee, K.en_US
dc.contributor.authorJeong, J. H.en_US
dc.contributor.authorOh, H. Y.en_US
dc.contributor.editorGershon Elber and Nicholas Patrikalakis and Pere Bruneten_US
dc.date.accessioned2016-02-17T18:02:47Z
dc.date.available2016-02-17T18:02:47Z
dc.date.issued2004en_US
dc.identifier.isbn3-905673-55-Xen_US
dc.identifier.issn1811-7783en_US
dc.identifier.urihttp://dx.doi.org/10.2312/sm.20041402en_US
dc.description.abstractCustom-tailored products are defined as products having various sizes and shapes tailored to meet the customer's different tastes or needs. Thus fabrication of custom-tailored products inherently involves inefficiency. To minimize this inefficiency, a new paradigm is proposed in this work. In this paradigm, different parts are grouped into several groups according to their sizes and shapes. For grouping the different parts, similarity measurement algorithm is used. Similarity comparison starts with the determination of the closest pose between two shapes in consideration. The closest pose is derived by comparing the ray distances while one shape is virtually rotated with respect to the other. Shape similarity value and overall similarity value calculated from ray distances are also used for grouping. A prototype system based on the proposed methodology has been implemented and applied to the grouping and machining of the shoe lasts of various shapes and sizes.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.5.3 [Pattern Recognition] Similarity Measuresen_US
dc.subjectH.3.3 [Information Search and Retrieval] Clusteringen_US
dc.titleShape Similarity Measurement Using Ray Distances for Mass Customizationen_US
dc.description.seriesinformationSolid Modelingen_US
dc.description.sectionheadersPosters Sessionen_US
dc.identifier.doi10.2312/sm.20041402en_US
dc.identifier.pages279-284en_US


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