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ISPRS 2006, Commission V Symposium Image Engineering and Vision Metrology 25/09/2006 27/09/2006 Dresdes Allemagne OA Proceedings Archives
nom du congrès :
ISPRS 2006, Commission V Symposium Image Engineering and Vision Metrology
début du congrès :
25/09/2006
fin du congrès :
27/09/2006
ville du congrès :
Dresdes
pays du congrès :
Allemagne
site des actes du congrès :
|
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3D zebra-crossing reconstruction from stereo rig images of a ground-based mobile mapping system / Bahman Soheilian (2006)
Titre : 3D zebra-crossing reconstruction from stereo rig images of a ground-based mobile mapping system Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Nicolas Paparoditis , Auteur ; Didier Boldo , Auteur ; Jean-Paul Rudant , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36 Conférence : ISPRS 2006, Commission V Symposium Image Engineering and Vision Metrology 25/09/2006 27/09/2006 Dresdes Allemagne OA Proceedings Archives Importance : pp 291 - 296 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie
[Termes IGN] géoréférencement
[Termes IGN] piéton
[Termes IGN] reconstruction 3D
[Termes IGN] système de numérisation mobileRésumé : (auteur) Zebra-crossings are very specific road features that are less generalized when imaged at different scales. We aim to use zebra-crossings as control objects for georeferencing the images provided by a Mobile Mapping System (MMS) using the oriented aerial images of the same area. In this paper, we present a full automatic method for 3D zebra-crossing reconstruction from our MMS calibrated stereo rig. In our image-based georeferencing context, reconstruction accuracy is a priority. The only assumption made is that each zebra-crossing band is supposed to be planar and to have an a priori known 3D width. The method consists in reconstructing the 3D edges using a sub-pixel edge matching process by dynamic programming. The detection step is run on all 3D edges around the estimated road plane by looking for parallel segment lines with specific distances. The accurate 3D plane of each band is then estimated from the points belonging to the two previously detected sides. The short sides of each band are detected on the image and are projected onto the 3D plane of the band. Our method is robust and provides promising results. We have a good geometric accuracy. Numéro de notice : C2006-041 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part5/paper/SOHE_627.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102879