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Extracting 3D edgels hypotheses from multiple calibrated images : a step towards the reconstruction of curved and straight object boundary lines / Franck Jung (2002)    

Public contenu dans Proceedings of the ISPRS commission 3 symposium, Photogrammetric computer vision, september 9 - 13, 2002, Graz Austria, Part B. Papers accepted on the basis of abstracts / R. Kalliany (2002)   Titre : Extracting 3D edgels hypotheses from multiple calibrated images : a step towards the reconstruction of curved and straight object boundary lines Type de document : Article/Communication Auteurs : Franck Jung , Auteur ; Vincent Tollu, Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2002 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 34-3B Conférence : PCV 2002, ISPRS commission 3 symposium, Photogrammetric computer vision 09/09/2002 13/09/2002 Graz Autriche OA ISPRS Archives Importance : pp 100 - 104 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] contour [Termes IGN] image aérienne [Termes IGN] reconstruction d'objet [Termes IGN] Triangulated Irregular Network Résumé : (auteur) This paper describes a novel technique to extract 3D elementary linear elements from multiple views, often called edgels, that are 3D points with tangent direction. Techniques based on stereopair feature, edgel or contour, matching have been intensively developed in the 80s. The relatively poor quality of images used at the time and the ill-posed stereo context contributed to focus the research around segment matching, which provided fairly good results on objects with rectilinear boundaries. Here, we take advantage of the multiplication and of the high quality of images provided by a digital frame camera to revisit this feature matching technique and to enhance the accuracy, the detection and the robustness of a 3D elementary edgel feature estimator. 3D edgels introduce the lowest implicit modelisation as possible, thus allowing the characterisation and reconstruction of curved and straight linear structures which are widespread in our manmade world. The 3D points with tangent directions generated by our estimator can be directly injected in a surface reconstruction framework based on tensor voting (Tang and Medioni, 1998). In a more practical and photogrammetric context, e.g. HR aerial images of urban landscapes, these low-level features can be used to build 3D lines that can be injected as constraint lines in addition to other features, such as 3D points and 3D segments, in a triangulation process (Paparoditis et al., 2001) to improve the surface reconstruction of manmade objects (buildings, pavements, roads, etc.). These features can also be used to construct higher level features such as planar facets in aerial images of urban areas for building reconstruction. Numéro de notice : C2002-025 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : Poster-avec-CL DOI : sans En ligne : http://www.isprs.org/proceedings/XXXIV/part3/papers/paper144.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86135

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