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Extracting wire-frame models of street facades from 3D point clouds and the corresponding cadastral map / Karim Hammoudi (2010)
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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 , Auteur ; Fadi Dornaika
, Auteur ; Bahman Soheilian
, Auteur ; Nicolas Paparoditis
, Auteur
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 A formulation for unsupervised hierarchical segmentation of facade images with periodic models / Jean-Pascal Burochin (2010)
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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 , Auteur ; Bruno Vallet
, Auteur ; Olivier Tournaire
, Auteur ; Nicolas Paparoditis
, Auteur
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
Titre : Génération automatique de nuages de points d'édifices à partir de photographies Type de document : Mémoire Auteurs : A. Godet, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2010 Importance : 51 p. Format : 21 x 30 cm Note générale : Bibliographie
Rapport de Travail de Fin d'Étude, Cycle des Ingénieurs diplômés de l'ENSG 3ème année (IT3), Mastère Photogrammétrie, Positionnement et Mesure de DéformationsLangues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] APERO
[Termes IGN] appariement d'images
[Termes IGN] édifice religieux
[Termes IGN] interface utilisateur
[Termes IGN] logiciel de photogrammétrie
[Termes IGN] logiciel libre
[Termes IGN] MicMac
[Termes IGN] modélisation 3D
[Termes IGN] Pastis
[Termes IGN] patrimoine immobilier
[Termes IGN] semis de points
[Termes IGN] SIFT (algorithme)Index. décimale : MPPMD Mémoires du mastère spécialisé Photogrammétrie, Positionnement et Mesures de Déformation Résumé : (Auteur) Le stage propose de développer une interface permettant la génération automatique de nuage de points d'édifices à partir de relevé photographique et de calcul de corrélation automatique d'images. Les outils utilisés ont été développés par le laboratoire MATIS de l'IGN. Ces logiciels contiennent l'ensemble des modules nécessaires à la modélisation 3D à partir de photos. Ces outils sont aujourd'hui opérationnels du point de vue algorithmique et ont été valides par le MATIS sur le relevé 3D d'un ensemble assez varie de scènes architecturales. Cependant, ils sont d'un usage assez complexe et ne permettent pas une exploitation par des utilisateurs non spécialisés. Le stage a donc pour but de développer une interface, permettant à des utilisateurs ayant des bonnes notions de photogrammétrie, d'utiliser l'ensemble de ces outils pour générer des modèles 3D à partir de lever photographique. Note de contenu : Introduction
1) Présentation du laboratoire et du stage
1. Le laboratoire
2. Le projet Nubes
3. Les objectifs du stage
2) Présentation des outils utilisés
1. Le système d'exploitation
2. MAYA
3. Qt Creator
4. ImageMagick
5. Les outils du MATIS
a) Présentation de la chaîne PAM
b) PASTIS
c) APERO
d) MICMAC
e) Les librairies C++ associées
3) Rédaction du Protocole d'acquisition
1. Traitements de sites
a) L'église de Rampillon
b) L'église de Fontains
c) La Chartreuse de Villeneuve-lez-Avignon
d) La Chapelle Impériale d'Ajaccio
e) Corbeaux et chapiteaux de Saint Michel de Cuxa
f) Objets d'art du musée Rodin
2. Le protocole
a) Condition du terrain
b) Paramétrage de la caméra
c) Choix d'un site de calibration
d) Acquisition globale du site
e) Acquisition d'un site de corrélation
f) Type de Matériaux pour la corrélation
4) PhotoCloud
1. Photocloud et les processus
a) Communication de Maya vers des processus extérieurs
b) Communication des processus extérieurs vers MAYA
2. NUBES Forma
3. Traitement des images
a) Prétraitement
b) Détection des points SIFT et calcul des homologues
4. Calculs des calibrations et des aérotriangulations
a) Stratégie générale des calculs
b) Le fichier de paramètres
c) Les différents cas de chantier
d) Contrôle des calculs et de l'avancement
5. Exportations des relèvements et des points SIFT3D
6. La corrélation dense
a) Présentation de l'interface
b) Programmation de l'IHM
c) Pilotage de MicMac
d) Contrôle du calcul
e) Contrôle de l'avancement
7. Performance de PhotoCloud
a) Les résidus
b) Espace mémoire
c) Temps de calculs et de chargements
8. Exemple de modélisation à partir des résultats de PhotoCloud
5) Conclusion et perspectivesNuméro de notice : 10902 Affiliation des auteurs : IGN (1940-2011) Thématique : IMAGERIE Nature : Mémoire masters divers Organisme de stage : Laboratoire du MAP GAMSAU (ENSA-Marseille) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=49406 Réservation
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10902_mem_generation_nuages_points_godet.pdfAdobe Acrobat PDFInitial investigations for modeling interior utilities within 3D Geo Context: Transforming IFC- interior utility to CityGML/UtilityNetworkADE / Ihab Hijazi (2010)
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Titre : Initial investigations for modeling interior utilities within 3D Geo Context: Transforming IFC- interior utility to CityGML/UtilityNetworkADE Type de document : Article/Communication Auteurs : Ihab Hijazi, Auteur ; Manfred Ehlers, Auteur ; Sisi Zlatanova, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : 3D GeoInfo 2010, ISPRS 5th International Conference on 3D GeoInformation 03/11/2010 04/11/2010 Berlin Allemagne OA ISPRS Archives Importance : 22 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] bâtiment
[Termes IGN] carte d'intérieur
[Termes IGN] CityGML
[Termes IGN] données localisées 3D
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modélisation 3D du bâti BIMRésumé : (Auteur) 3D City models have so far neglected utility networks in built environments, both interior and exterior. Many urban applications, e.g. emergency response or maintenance operations, are looking for such an integration of interior and exterior utility. Interior utility is usually created and maintained using Building Information Model (BIM) systems, while exterior utility is stored, managed and analyzed using GIS. Researchers have suggested that the best approach for BIM/GIS integration is harmonized semantics, which allow formal mapping between the BIM and real world GIS. This paper provides preliminary ideas and directions for how to acquire information from BIM/Industry Foundation Class (IFC) and map it to CityGML utility network Application Domain Extension (ADE). The investigation points out that, in most cases, there is a direct one-to-one mapping between IFC schema and UtilityNetworkADE schema, and only in one case there is one-to-many mapping; related to logical connectivity since there is no exact concept to represent the case in UtilityNetworkADE. Many examples are shown of partial IFC files and their possible translation in order to be represented in UtilityNetworkADE classes. Numéro de notice : C2010-049 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/INFORMATIQUE Nature : Communication DOI : 10.1007/978-3-642-12670-3_6 En ligne : https://doi.org/10.1007/978-3-642-12670-3_6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84157 Documents numériques
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Initial investigations for modeling interior utilities within 3D Geo ContextAdobe Acrobat PDF
Titre : Knowledge based building facade reconstruction from laser point clouds and images Type de document : Thèse/HDR Auteurs : Shi Pu, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 2010 Collection : Netherlands Geodetic Commission Publications on Geodesy, ISSN 0165-1706 num. 75 Importance : 119 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-90-6132-319-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] B-Spline
[Termes IGN] base de connaissances
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] façade
[Termes IGN] Pays-Bas
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] système à base de connaissances
[Termes IGN] télémétrie laser terrestre
[Termes IGN] texturageIndex. décimale : 33.80 Lasergrammétrie Résumé : (Auteur) Various applications demand realistic 3D city models. For urban planning, analyzing in a 3D virtual reality world is much more efficient than imaging the 2D information on maps. For public security, accurate 3D building models are indispensable to make strategies during emergency situations. Navigation systems and virtual tourism also benefit from realistic city models. Manual creation of city models is undoubtedly a rather time consuming and expensive procedure. On one hand, images are for long the only data source for geometric modelling, while recovering of 3D geometries is not straightforward from 2D images. On the other hand, there are enormous amounts of objects (for example buildings) to be reconstructed, and their structures and shapes show a great variety. There is a lack of automated approaches to understand the building structures captured by data. The rapid development of cities even adds to the cost of manual city model updating. In recent years, laser scanning has been proven a successful technology for reverse engineering. The terrestrial laser point clouds are especially useful for documenting building facades. With the considerable high point density and the explicit 3D coordinates of terrestrial laser point clouds, it is possible to recover both large structures and fine details on building facades. The latest developments of mobile laser scanning technology also make it more cost-effective to take large-scale laser scanning over urban areas.
This PhD research aims at reconstructing photorealistic building facade models from terrestrial laser point clouds and close range images, with a largely automatic process. A knowledge base about building facade structures is established first, where several important building features (wall, door, protrusion, etc.) are defined and described with their geometric properties and spatial relationships. Then constraints for feature extraction are derived from the knowledge base. After a laser point cloud is segmented into planar segments by surface a growing segmentation algorithm, each segment is compared with the feature constraints to determine the most likely feature type for each segment. The feature extraction method works fine for all facade features except for windows, because there are usually insufficient laser points reflected from window glass. Instead, windows are reconstructed from the holes on the wall features. Then outline polygons or B-spline surfaces are fit to all feature segments, and the parts without laser points are hypothesized according to knowledge. A complete polyhedron model is combined from both fitted and hypothesized outlines.
Since laser data contains no colour information, the building models reconstructed from only laser data contain only geometric information such as vertices and edges. To obtain photorealistic results, textures must be mapped from images to the geometric models. The fusing of laser points and image requires accurate alignment between laser space and image space, which is accomplished after a semi-automated process. Because of the limitations of modelling methods, the geometry model reconstructed from laser points may contain many errors which would cause poor texturing effect. Therefore, significant line features extracted from images are compared with the initial model's edges, and necessary refinements are made to correct the model errors, or at least make the model edges consistent with the image lines. Finally, in the texturing stage, the texture of each model face is selected automatically from multiple images to ensure the optimal visibility. Texture errors caused by occlusions in front of a wall are also removed by analyzing the locations of the wall, the occlusions and the camera position.
Experiments with three data sets show that building reconstruction are considerably accelerated by the presented methods. Our approach is more than 10 times faster than the traditional approach when reconstructing the same buildings, and the models by our approach contain more fine details such as doors and windows. The reconstruction of wall facades and roofs are fully automatic, while some manual interactions (48 percent of the total reconstruction time) are still required for editing the fine details. It should also be faster to make global statistics (number of floors, number of entrances, etc.) and modifications (deriving models with a lower level of detail, applying pre-defined textures, etc.) later on to our models, since different model parts have been associated with the semantic labels. While the reconstruction efficiency is improved by our approach, the visualization effects of our models are also comparable to the models by the traditional approach. The future work will focus on improving the knowledge base and developing a fully automated camera parameter estimation procedure. The completeness and adaptability of the knowledge base will be especially important for the further automation of our reconstruction approach.Note de contenu : 1 Introduction
1.1 State-of-the-art of terrestrial laser scanning
1.2 Related works
1.2.1 Overview
1.2.2 Frueh et al. 2005
1.2.3 Cornelis et al. 2008
1.2.4 Ripperda2008
1.2.5 Becker 2009
1.3 Method overview
1.4 Structure of the thesis
2 Knowledge engineering and reasoning
2.1 Knowledge engineering
2.1.1 Assembling the knowledge
2.1.2 Decide on a vocabulary
2.1.3 Encode general knowledge
2.1.4 The hierarchical composition
2.2 Reasoning with the knowledge
2.3 Managing uncertainty
2.3.1 Describing the uncertainty
2.3.2 Making expected decisions
2.4 Concluding remarks
3 Feature extraction
3.1 Preprocessing
3.1.1 Spatial indexing
3.1.2 Extracting points of interest
3.2 Extraction of geometric features
3.2.1 Flat surfaces
3.2.2 Curved surfaces
3.3 Extraction of semantic features
3.3.1 Solid features extraction
3.3.2 Hole-based window extraction
3.4 Discussion
4 Geometric reconstruction
4.1 Polygon fitting
4.1.1 Least squares fitting
4.1.2 Convex polygon and concave polygon fitting
4.1.3 Minimum bounding rectangle fitting
4.2 B-spline surface fitting
4.2.1 The B-spline curve and surface
4.2.2 B-spline surface approximation
4.3 Hypotheses for parts without laser data
4.4 Results and Discussion
4.4.1 Flat surfaces
4.4.2 Curved surfaces
5 Model refinement with imagery
5.1 Method overview
5.2 Registration
5.2.1 Perspective Conversion
5.2.2 Spatial Resection
5.2.3 Relative Orientation
5.3 The model refinement
5.3.1 Extraction of Significant Lines from Images
5.3.2 Matching Model Edges with Image Lines
5.3.3 Refinement Strategy
5.4 Test cases
5.4.1 The restaurant house
5.4.2 The town hall
5.4.3 The wall with high windows
5.4.4 Summary
5.5 Conclusions and outlook
6 Texture mapping
6.1 Selecting texture images
6.1.1 Optimal image selection
6.1.2 Occlusion removal
6.2 Calculating texture coordinates
6.3 Results and discussion
6.3.1 The three joined houses
6.3.2 The house with a balcony
6.3.3 The curved walls
6.3.4 Discussion
7 Method evaluation
7.1 The reconstruction approaches
7.1.1 Our approach
7.1.2 The traditional approach
7.2 The Vlaardingen case
7.3 The Enschede case
7.4 The Esslingen case
7.5 Conclusions
8 Conclusions and recommendations
8.1 Conclusions
8.2 RecommendationsNuméro de notice : 10834 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis : En ligne : https://www.ncgeo.nl/index.php/en/publicatiesgb/publications-on-geodesy/item/257 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62511 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 10834-01 33.80 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible PermalinkModélisation de façades par analyse conjointe d'images terrestres et de données laser / Antoine Pinte (2010)
PermalinkPermalinkSemantics-based 3D dynamic hierarchical house property model / Q. Zhu in International journal of geographical information science IJGIS, vol 24 n°1-2 (january 2010)
PermalinkUn système d’information géographique 3D pour l’exploration des règles d’urbanisme / Mickaël Brasebin (2010)
Permalink3D builbing reconstruction from lidar based on a cell decomposition approach / Martin Kada (01/12/2009)
PermalinkLe relevé de la ligne en architecture et l'idée de classicisme grec / A. Moignet-Gaultier in Journal des savants, vol 2009 n° 2 (01/12/2009)
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PermalinkGeneration and application of rules for quality dependent facade reconstruction / S. Becker in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)
PermalinkModelling the erectheion: extracting information from very large datasets / J. Beraldin in GIM international, vol 23 n° 11 (November 2009)
PermalinkAutomated extraction of buildings from Ikonos imagery by integrating spectral and spatial information / X. Wang in Geomatica, vol 63 n° 3 (September 2009)
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