Adaptive Multi-scale Analysis for Point-based Surface Editing

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dc.contributor.authorNader, Georgesen_US
dc.contributor.authorGuennebaud, Gaelen_US
dc.contributor.authorMellado, Nicolasen_US
dc.contributor.editorJ. Keyser, Y. J. Kim, and P. Wonkaen_US
dc.date.accessioned2015-03-03T12:51:53Z
dc.date.available2015-03-03T12:51:53Z
dc.date.issued2014en_US
dc.description.abstractThis paper presents a tool that enables the direct editing of surface features in large point-clouds or meshes. This is made possible by a novel multi-scale analysis of unstructured point-clouds that automatically extracts the number of relevant features together with their respective scale all over the surface. Then, combining this ingredient with an adequate multi-scale decomposition allows us to directly enhance or reduce each feature in an independent manner. Our feature extraction is based on the analysis of the scale-variations of locally fitted surface primitives combined with unsupervised learning techniques. Our tool may be applied either globally or locally, and millions of points are handled in real-time. The resulting system enables users to accurately edit complex geometries with minimal interaction.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/cgf.12485en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12485en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleAdaptive Multi-scale Analysis for Point-based Surface Editingen_US
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