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PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives
nom du congrès :
PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis
début du congrès :
01/09/2010
fin du congrès :
03/09/2010
ville du congrès :
Saint-Mandé
pays du congrès :
France
site des actes du congrès :
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Documents disponibles (8)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesExtracting wire-frame models of street facades from 3D point clouds and the corresponding cadastral map / Karim Hammoudi (2010)
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : Extracting wire-frame models of street facades from 3D point clouds and the corresponding cadastral map Type de document : Article/Communication Auteurs : Karim Hammoudi Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3A Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 91 - 96 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] façade
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] photogrammétrie terrestre
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] texturageRésumé : (Auteur) This paper presents an operational approach for extracting wire-frame models of street facades. Georeferenced terrestrial laser rawdata are acquired by a Mobile Mapping System (MMS). The MMS constitutes an adapted tool to massively collect accurate data at street level. After a filtering step of the 3D raw point cloud of street, the street point cloud is segmented into a cloud of dominant facade walls. Piecewise quasi-planar facade cloud are then extracted using an adapted Progressive Probabilistic Hough Transform (PPHT). At the planimetric level, a cadastral map issue from an urban database is employed to segment the cloud of planar clusters into residential facade portion. Finally, each portion is vertically delimited using heuristic approaches. The adapted PPHT allows the automatic modeling of facade outlines with a fine facade line detection and a low computation time. The adapted approach has been tested on a set of point clouds acquired in the city of Paris under real conditions. Examples and experimental results show the efficiency of the proposed approach. Numéro de notice : C2010-002 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/91_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65057
contenu dans Photogrammetric computer vision and image analysis: ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 2. Papers accepted on the basis of abstracts / Nicolas Paparoditis (2010)
Titre : Extraction of vertical posts in 3D laser point clouds acquired in dense urban areas by a mobile mapping system Type de document : Article/Communication Auteurs : Sterenn Liberge, Auteur ; Bahman Soheilian Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3B Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 126 - 130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] arbre de décision
[Termes IGN] extraction automatique
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) This paper focuses on extracting vertical objects from 3D terrestrial point clouds, acquired in dense urban scenes. We are especially interested in urban vertical posts whose inventory is useful for many applications such as urban mapping, virtual tourism or localization. The proposed methodology is based on two steps. The first is a focalization step providing hypothetical candidates consisting of vertical features. The second step validates or rejects these candidates. In the case of validation, the features are classified according to the posts pattern library. The extraction of vertical objects is processed by projecting the point cloud in a horizontal plan. The accumulation density, the minimal and maximal heights are used to filter out ground points, tree leaves and to solve acquisition problems such as a region multiscans. After filtering step, the accumulation image is updated. Connex regions correspond to the vertical objects. These candidates are then validated regarding the posts pattern library. An analysis of the 3D vertical point distribution is processed. To do that, each region is characterized by its eigenvalues and eigenvectors based on a Principal Component Analysis in 3D space. The classification is processed by a decision tree algorithm. Results are presented on large and various datasets acquired under real conditions in a dense urban area. A global accuracy of 84 % is reached. Numéro de notice : C2010-006 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/b/pdf/126_XXXVIII-part3B.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65061
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : A formulation for unsupervised hierarchical segmentation of facade images with periodic models Type de document : Article/Communication Auteurs : Jean-Pascal Burochin Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 227 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] alignement
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] corrélation à l'aide de traits caractéristiques
[Termes IGN] façade
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation d'imageRésumé : (Auteur) We introduce an unsupervised segmentation method to build a hierarchical representation of a building facade from a single calibrated street level image. The process recursively splits horizontally or vertically the rectified image along dominant alignments until the radiometric content of the region hypothesis corresponds to a given model. This paper propose two main novelties: first we describe an advanced split energy formulation to separate dominant alignments breaks. Then we introduce a model that express periodicity in facade texture. This segmentation could be an interesting tool for facade modeling and is in particular well suited for facade texture compression. Numéro de notice : C2010-004 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/227_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65059
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : Matching terrestrial images captured by a nomad system to images of a reference database for pose estimation purpose Type de document : Article/Communication Auteurs : Arnaud Le Bris Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 133 - 137 Note générale : Bibliographie
Paper accepted on the basis of peer-reviewed full manuscriptLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] géoréférencement direct
[Termes IGN] image panoramique
[Termes IGN] intégration de données
[Termes IGN] points homologues
[Termes IGN] SIFT (algorithme)
[Termes IGN] Stéréopolis
[Termes IGN] système de numérisation mobileRésumé : (Auteur) Mobile mapping systems have been developed to achieve a fast automated acquisition of huge quantity of georeferenced terrestrial images in urban cities. Stereopolis is such a system making it possible to capture panoramic groups of images. These georeferenced photos are then stored in urban images street scale reference databases. The issue investigated in this paper is the problem of tie points extraction between new images captured with an approximate georeferencement by a ”nomad system” and images from the reference database in order to estimate a precise pose for these new images. Because of several difficulties (diachronism, viewpoint change, scale variation, repetitive patterns) extracting enough correct well distributed tie points is difficult and directly extracted and matched SIFT keypoints from original images are most of the time not sufficient. Nevertheless, results can be improved using ortho-rectified images on the facade plane instead of original images. Rectification parameters (3D rotation) are obtained from the coordinates of vanishing points corresponding to the two main directions of the facade. These points can indeed be extracted from linear features of the facade on the images. However, many point matches remain false and difficult to detect using only their image coordinates. The use of both image coordinates and scale and orientation associated to the matched SIFT keypoints makes it possible to detect outliers and to obtain an approximate similitude model between the two ortho-images. A more accurate model can then be computed from correct tie points. Numéro de notice : C2010-003 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/133_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65058
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : Motion blur detection in aerial images shot with channel-dependent exposure time Type de document : Article/Communication Auteurs : Lâmân Lelégard Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 180 - 185 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] anisotropie
[Termes IGN] détection automatique
[Termes IGN] image aérienne
[Termes IGN] transformation de FourierRésumé : (Auteur) This paper presents a simple yet efficient approach for automatic blur detection in aerial images provided by a multi-channel digital camera system. The blur in consideration is due to the airplane motion and causes anisotropy in the Fourier Transform of the image. This anisotropy can be detected and estimated to recover the characteristics of the motion blur, but one cannot disambiguate the anisotropy produced by a motion blur from the possible spectral anisotropy of the underlying sharp image. The proposed approach uses a camera with channel-dependent exposure times to address this issue. Under this multi-exposure setting, the motion blur kernel is scaled proportionally to the exposure-time, whereas the phase differences between the underlying sharp colour channels are assumedly negligible. We show that considering the phase of the ratio of the Fourier Transforms of two channels enhances blur detection. Results obtained on 2000 images confirm the operational efficiency of our method. Numéro de notice : C2010-005 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/180_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65060 Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
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