dc.contributor.author | Kleppe, Adam Leon | |
dc.contributor.author | Tingelstad, Lars | |
dc.contributor.author | Egeland, Olav | |
dc.date.accessioned | 2019-02-21T09:56:58Z | |
dc.date.available | 2019-02-21T09:56:58Z | |
dc.date.created | 2018-09-07T13:58:56Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | IEEE Transactions on Automation Science and Engineering. 2018, . | nb_NO |
dc.identifier.issn | 1545-5955 | |
dc.identifier.uri | http://hdl.handle.net/11250/2586686 | |
dc.description.abstract | This paper presents a method for coarse alignment of point clouds by introducing a new descriptor based on the local curvature. The method is developed for model fitting a CAD model for use in robotic assembly. The method is based on selecting keypoints depending on shape factors calculated from the local covariance matrix of the surface. A descriptor is then calculated for each keypoint by fitting two spheres that describe the curvature of the surface. The spheres are calculated using conformal geometric algebra, which gives a convenient and efficient description of the geometry. The keypoint descriptors for the model and the observed point cloud are then compared to estimate the corresponding keypoints, which are used to calculate the displacement. The method is tested in several experiments. One experiment is for robotic assembly, where objects are placed on a table and their position and orientation is estimated using a 3-D CAD model. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | IEEE | nb_NO |
dc.relation.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452143 | |
dc.title | Coarse Alignment for Model Fitting of Point Clouds Using a Curvature-Based Descriptor | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 14 | nb_NO |
dc.source.journal | IEEE Transactions on Automation Science and Engineering | nb_NO |
dc.identifier.doi | 10.1109/TASE.2018.2861618 | |
dc.identifier.cristin | 1607660 | |
dc.relation.project | Norges forskningsråd: 237896 | nb_NO |
dc.description.localcode | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,64,92,0 | |
cristin.unitname | Institutt for maskinteknikk og produksjon | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |