Multiscale Features for Approximate Alignment of Point-based Surfaces

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dc.contributor.authorLi, Xinjuen_US
dc.contributor.authorGuskov, Igoren_US
dc.contributor.editorMathieu Desbrun and Helmut Pottmannen_US
dc.date.accessioned2014-01-29T09:31:14Z
dc.date.available2014-01-29T09:31:14Z
dc.date.issued2005en_US
dc.description.abstractWe introduce a novel method for approximate alignment of point-based surfaces. Our approach is based on detecting a set of salient feature points using a scale-space representation. For each feature point we compute a signature vector that is approximately invariant under rigid transformations. We use the extracted signed feature set in order to obtain approximate alignment of two surfaces. We apply our method for the automatic alignment of multiple scans using both scan-to-scan and scan-to-model matching capabilities.en_US
dc.description.seriesinformationEurographics Symposium on Geometry Processing 2005en_US
dc.identifier.isbn3-905673-24-Xen_US
dc.identifier.issn1727-8384en_US
dc.identifier.urihttps://doi.org/10.2312/SGP/SGP05/217-226en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMultiscale Features for Approximate Alignment of Point-based Surfacesen_US
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SGP05: Eurographics Symposium on Geometry Processing