dc.contributor.author | Raffo, Andrea | |
dc.contributor.author | Biasotti, Silvia | |
dc.date.accessioned | 2022-02-03T13:19:25Z | |
dc.date.available | 2022-02-03T13:19:25Z | |
dc.date.created | 2020-05-19T19:38:07Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Computers & graphics. 2020, 89 144-155. | en_US |
dc.identifier.issn | 0097-8493 | |
dc.identifier.uri | https://hdl.handle.net/11250/2976935 | |
dc.description.abstract | In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the wQISA representation and introduce a novel data-driven implementation, which combines prediction capability and complexity efficiency. We provide an extended comparative analysis with other continuous approximations on real data, including different types of surfaces and levels of noise, such as 3D models, terrain data and digital environmental data. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | Spline methods | en_US |
dc.subject | Quasi-interpolation | en_US |
dc.subject | Point clouds | en_US |
dc.subject | Noise | en_US |
dc.subject | Data-driven model assessment | en_US |
dc.title | Data-driven quasi-interpolant spline surfaces for point cloud approximation | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 2020 Elsevier Ltd. All rights reserved. | en_US |
dc.source.pagenumber | 144-155 | en_US |
dc.source.volume | 89 | en_US |
dc.source.journal | Computers & graphics | en_US |
dc.identifier.doi | 10.1016/j.cag.2020.05.004 | |
dc.identifier.cristin | 1811798 | |
dc.relation.project | EC/H2020/675789 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |