Practical and Robust MLS-based Integration of Scanned Data

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dc.contributor.authorFiorin, Valentinoen_US
dc.contributor.authorCignoni, Paoloen_US
dc.contributor.authorScopigno, Robertoen_US
dc.contributor.editorVittorio Scarano and Rosario De Chiara and Ugo Erraen_US
dc.date.accessioned2014-01-27T16:30:13Z
dc.date.available2014-01-27T16:30:13Z
dc.date.issued2008en_US
dc.description.abstractThe paper proposes a set of techniques for improving the quality of MLS surfaces reconstructed from point clouds that are composed by the union of many scanned range maps. The main idea of those techniques is that the range-map structure should be exploited during the reconstruction process and not lost in the uniform point soup that is usually fed into reconstruction algorithms; on this purpose a set of per-range-map weighting schemes are proposed. The presented weighting schemes allow to cope with some of the various issues that usually arise during the integration of point clouds composed by set of range maps, like tangible alignment errors, anisotropic error on sensor data and sensible difference in sampling quality.en_US
dc.description.seriesinformationEurographics Italian Chapter Conferenceen_US
dc.identifier.isbn978-3-905673-68-5en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2008/057-064en_US
dc.publisherThe Eurographics Associationen_US
dc.titlePractical and Robust MLS-based Integration of Scanned Dataen_US
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