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dc.contributor.authorKil, Yong Jooen_US
dc.contributor.authorMederos, Borisen_US
dc.contributor.authorAmenta, Ninaen_US
dc.contributor.editorMario Botsch and Baoquan Chen and Mark Pauly and Matthias Zwickeren_US
dc.date.accessioned2014-01-29T16:38:10Z
dc.date.available2014-01-29T16:38:10Z
dc.date.issued2006en_US
dc.identifier.isbn3-905673-32-0en_US
dc.identifier.issn1811-7813en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SPBG/SPBG06/009-015en_US
dc.description.abstractWe give a method for improving the resolution of surfaces captured with a laser range scanner by combining many very similar scans. This idea is an application of the 2D image processing technique known as superresolution. The input lower-resolution scans are each randomly shifted, so that each one contributes slightly different information to the final model. Noise is reduced by averaging the input scans.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Surface Acquisitionen_US
dc.titleLaser Scanner Super-resolutionen_US
dc.description.seriesinformationSymposium on Point-Based Graphicsen_US


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