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dc.contributor.authorCollins, Anneen_US
dc.contributor.authorZomorodian, Afraen_US
dc.contributor.authorCarlsson, Gunnaren_US
dc.contributor.authorGuibas, Leonidasen_US
dc.contributor.editorMarkus Gross and Hanspeter Pfister and Marc Alexa and Szymon Rusinkiewiczen_US
dc.date.accessioned2014-01-29T16:25:48Z
dc.date.available2014-01-29T16:25:48Z
dc.date.issued2004en_US
dc.identifier.isbn3-905673-09-6en_US
dc.identifier.issn1811-7813en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SPBG/SPBG04/181-191en_US
dc.description.abstractIn this paper, we present a complete computational pipeline for extracting a compact shape descriptor for curve point cloud data. Our shape descriptor, called a barcode, is based on a blend of techniques from differential geometry and algebraic topology.We also provide a metric over the space of barcodes, enabling fast comparison of PCDs for shape recognition and clustering. To demonstrate the feasibility of our approach, we have implemented it and provide experimental evidence in shape classification and parametrization.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Barcode Shape Descriptor for Curve Point Cloud Dataen_US
dc.description.seriesinformationSPBG'04 Symposium on Point - Based Graphics 2004en_US


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