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A concept for feature based data registration by simultaneous consideration of laser scanner data and photogrammetric images / A. Wendt in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 62 n° 2 (June 2007) . - pp 122 - 134 Titre : A concept for feature based data registration by simultaneous consideration of laser scanner data and photogrammetric images Type de document : Article/Communication Auteurs : A. Wendt, Auteur Année de publication : 2007 Article en page(s) : pp 122 - 134 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] données laser [Termes IGN] extraction automatique [Termes IGN] image numérique [Termes IGN] invariant [Termes IGN] lasergrammétrie [Termes IGN] photogrammétrie numérique [Termes IGN] semis de points [Termes IGN] superposition d'images [Termes IGN] superposition de données Résumé : (Auteur) Surface measurement of complex geometric objects by means of optical techniques, such as laser scanning or photogrammetry, requires multiple views from various stations. The data sets of the views, e.g. point clouds and photogrammetric images, are given in individual coordinate systems. For a complete representation of the objects, the views have to be transformed into one common coordinate system. This task is denoted as registration and involves an estimation of the transformation parameters between different coordinate systems. In this paper, a concept for a pairwise feature based registration of hybrid laser scanner data sets is proposed. The concept includes the feature extraction and description by simultaneous consideration of laser scanner data and photogrammetric images, as well as the recognition of consistent feature correspondences. The features are viewpoint invariant and are described with a rectified image patch on planar surface geometry in object space. Two different data sets are used to demonstrate that the proposed concept for feature extraction, feature description and correspondence search is successful to register hybrid laser scanner data sets with a high level of automation. Copyright ISPRS Numéro de notice : A2007-260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.12.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28623 [article]

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