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Auteur Rachid Deriche |
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Affiner la recherche Interroger des sources externesAutomatic building reconstruction from aerial images : a generic Bayesian Framework / Patrick Taillandier (2004)
Titre : Automatic building reconstruction from aerial images : a generic Bayesian Framework Type de document : Article/Communication Auteurs : Patrick Taillandier Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2004 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 35-B3 Conférence : ISPRS 2004, 20th international congress of photogrammetry and remote sensing, Geo-Imagery Bridging continents 12/07/2004 23/07/2004 Istanbul Turquie OA ISPRS Archives Importance : pp 343 - 348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] classification bayesienne
[Termes IGN] contrainte géométrique
[Termes IGN] image multi sources
[Termes IGN] primitive
[Termes IGN] programmation par contraintes
[Termes IGN] reconstruction 3DIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) A novel System for automatic building reconstruction from multiple aerial images is presented. Compared to previous works, this approach uses a very generic modeling of buildings as polyhedral shapes with no overhang, in which external knowledge is introduced through constraints on primitives. Using planes as base primitives, the algorithm builds up an arrangement of planes from which a 3D graph of facets is deduced. In a so-called "compatibility graph" where the nodes are the initial facets of the 3D graph and edges between two nodes state that both facets belong to at least one common hypothesis of building, it is shown that maximal cliques supply all the hypotheses of buildings that can be deduced from the arrangement of planes. Among these hypotheses the choice is done through a bayesian formulation that balance data adequacy and caricature needs. Results are provided on real images and show the validity of the approach that remains very generic on the contrary to model-based methods while bringing extemal architectural information through geometric constraints, which generally lacks in data-driven algorithms. Numéro de notice : 15189 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXV/congress/comm3/papers/292.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64394 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 15189-01 33.30 Tiré à part Centre de documentation Photogrammétrie - Lasergrammétrie Disponible
Titre : Reconstruction automatique de bâtiments à partir d'images aériennes : une approche probabiliste générique Type de document : Article/Communication Auteurs : Franck Taillandier Editeur : Orsay, Chambéry : Association Française de l'Intelligence Artificielle AFIA Année de publication : 2004 Conférence : RFIA 2004, 14e congrès francophone Reconnaissance des Formes et Intelligence Artificielle 20/01/2004 31/01/2004 Toulouse France OA ISPRS Archives Importance : pp 1271 - 1280 Note générale : bibliographie
in volume 3 Actes RFIA 2004, non disponible au CDOSLangues : Français (fre) Numéro de notice : C2004-029 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99653
Titre : A framework for constrained multiscale range image segmentation Type de document : Article/Communication Auteurs : Franck Taillandier Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2003 Conférence : ICIP 2003, 10th IEEE International Conference on Image Processing 14/09/2003 18/09/2003 Barcelone Espagne Proceedings IEEE Importance : pp 443 - 446 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] segmentation d'imageRésumé : (auteur) In this paper, we present a general framework for multiscale segmentation of range images in planar facets. We propose a formulation of the problem as the minimization of a multiscale separable energy, which involves two terms: a goodness-of-fit term and a regularization term, the scale parameter being the relative weight between the two terms. We then recall a general parameter-free method to build a hierarchy of regions in which segmentation is expressed as a cut. Afterwards, we explicit the energy derived for a simple-shaped planar facet model and based on a formulation that confronts the complexity of the model and the goodness of fit of the data. We then extend this model to integrate gradients information from images, which leads us to a formulation of a simple-shaped planar and homogeneous facet model. Some results on digital elevation models (DEM) obtained from aerial images with and without image constraints are provided. Numéro de notice : C2003-042 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2003.1246712 Date de publication en ligne : 24/11/2003 En ligne : https://doi.org/10.1109/ICIP.2003.1246712 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101120 
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 : Reconstruction of 3D linear primitives from multiple views for urban areas modelisation Type de document : Article/Communication Auteurs : Franck Taillandier 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 267 - 272 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] espace objet
[Termes IGN] incertitude géométrique
[Termes IGN] méthode robuste
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] primitive volumique
[Termes IGN] reconstruction 3D
[Termes IGN] résiduRésumé : (auteur) In this paper, a new method for reconstruction of 3D segments from multiple images in urban areas environment is presented. Compared to previous algorithms, this one performs the matching of 2D segments in the Object Space through a sweep plane technique, thus avoiding the combinatorial exploration of all possible correspondences and handling images in a symmetric way. Furthermore, a method for reconstruction of 3D line from 2D lines, which takes into account the uncertainty on the parameters that define the 2D lines is also presented. It enables to get normalized residuals, which is used as a geometric criterion usable whatever the number of images is, to assess or reject potential correspondences. This criterion along with an unicity criterion is at the heart of the algorithm to prune the set of possible correspondences and to keep only reliable matches. Promising results are presented on simulated and real data. They show the ability of the algorithm to overcome detection errors in images and its robustness to occlusions in some images. Numéro de notice : C2002-026 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/paper099.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86136 Documents numériques
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Reconstruction of 3D linear primitives - pdf éditeurAdobe Acrobat PDF
contenu dans RFIA 2002, 13ème congrès francophone AFRIF-AFIA, Reconnaissance des formes et intelligence artificielle, Centre de congrès d'Angers, 8 - 10 janvier 2002, Volume 1. RFIA 2002 proceedings / Catherine Garbay (2002)
Titre : Reconstruction de primitives linéaires 3D en multi-vues pour la modélisation de scènes urbaines Titre original : Reconstruction of 3d linear primitives from multiple views for urban areas modelisation Type de document : Article/Communication Auteurs : Franck Taillandier Editeur : Association française pour la reconnaissance et l'interprétation des formes AFRIF Année de publication : 2002 Conférence : RFIA 2002, 13e congrès francophone AFRIF-AFIA Reconnaissance des formes et intelligence artificielle 08/01/2002 10/01/2002 Angers France OA ISPRS Archives Importance : pp 115 - 124 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de lignes
[Termes IGN] espace objet
[Termes IGN] incertitude géométrique
[Termes IGN] reconstruction 3D
[Termes IGN] scène urbaine
[Termes IGN] zone urbaineRésumé : (auteur) In this paper, a new method for reconstruction of 3D segments from multiple images in urban areas environment is presented. Compared to previous algorithms, this one performs the matching of 2D segments in the Object Space through a sweep plane technique, thus avoiding the combinatorial exploration of all possible correspondences and handling images in a symmetric way. Furthermore, a method for reconstruction of 3D line from 2D lines, which takes into account the uncertainty on the parameters that define the 2D lines is also presented. It enables to get normalized residuals, which is used as a geometric criterion usable whatever the number of images is, to assess or reject potential correspondences. This criterion along with an unicity criterion is at the heart of the algorithm to prune the set of possible correspondences and to keep only reliable matches. Promising results are presented on simulated and real data. They show the ability of the algorithm to overcome detection errors in images and its robustness to occlusions in some images. Numéro de notice : C2002-030 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99237 RFIA 2000, Reconnaissance des formes et intelligence artificielle, 12e congrès francophone AFRIF-AFIA, Paris, 1er - 3 février 2000, Salons de l'Aveyron, Volume 1. RFIA 2000 proceedings / Rachid Deriche (2000)
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