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An integrated approach for modelling and global registration of point clouds / T. Rabbani in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)
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Titre : An integrated approach for modelling and global registration of point clouds Type de document : Article/Communication Auteurs : T. Rabbani, Auteur ; S. Dijkam, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 355 - 370 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] base de connaissances
[Termes IGN] bâtiment industriel
[Termes IGN] données laser
[Termes IGN] jeu de données localisées
[Termes IGN] lasergrammétrie
[Termes IGN] matrice de covariance
[Termes IGN] méthode des moindres carrés
[Termes IGN] modélisation 3D
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] superposition de données
[Termes IGN] transformation de coordonnéesRésumé : (Auteur) Point cloud acquisition by using laser scanners provides an efficient way for 3D as-built modelling of industrial installations. Covering such an installation with point cloud data often requires data acquisition from multiple standpoints. Before the actual modelling can start the transformation parameters of all scans need to be determined. Two methods to register point clouds of industrial scenes with different coordinate definitions are presented. Corresponding object models in different scans are used to determine the translation and rotation parameters of the scans. The first method, called Indirect method, is a two-step approach as object fitting and registration of the scenes is done separately. The second method, called Direct method simultaneously determines the shape and pose parameters of the objects as well as the registration parameters. Both methods are designed such that optimal use can be made of the knowledge of shapes present in industrial environments. Compared to ICP the presented approach combines registration and modelling and thus avoids the accumulation of errors. Furthermore, the simultaneous registration of multiple scans is possible. The presented approaches are based on non-linear least squares and provide quality measures in the form of covariance matrix of the estimated parameters, which can be used to decide if more scans are needed, and how and where they should be captured. Results are presented on some point cloud data-sets from actual industrial sites, where registration was done without using any artificial targets. Copyright ISPRS Numéro de notice : A2007-063 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.09.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.09.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28428
in ISPRS Journal of photogrammetry and remote sensing > vol 61 n° 6 (February 2007) . - pp 355 - 370[article]Exemplaires(1)
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