Centre de documentation
scientifique

3D builbing reconstruction from lidar based on a cell decomposition approach / Martin Kada (01/12/2009)  

Public contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)   Titre : 3D builbing reconstruction from lidar based on a cell decomposition approach Type de document : Article/Communication Auteurs : Martin Kada, Auteur ; L. Mckinley, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 01/12/2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 47 - 52 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Berlin [Termes IGN] Cologne [Termes IGN] données lidar [Termes IGN] plan cadastral [Termes IGN] reconstruction 3D du bâti [Termes IGN] texturage [Termes IGN] toit [Termes IGN] ville Résumé : (Auteur) The reconstruction of 3D city models has matured in recent years from a research topic and niche market to commercial products and services. When constructing models on a large scale, it is inevitable to have reconstruction tools available that offer a high level of automation and reliably produce valid models within the required accuracy. In this paper, we present a 3D building reconstruction approach, which produces LOD2 models from existing ground plans and airborne LIDAR data. As well-formed roof structures are of high priority to us, we developed an approach that constructs models by assembling building blocks from a library of parameterized standard shapes. The basis of our work is a 2D partitioning algorithm that splits a building's footprint into nonintersecting, mostly quadrangular sections. A particular challenge thereby is to generate a partitioning of the footprint that approximates the general shape of the outline with as few pieces as possible. Once at hand, each piece is given a roof shape that best fits the LIDAR points in its area and integrates well with the neighbouring pieces. An implementation of the approach is used now for quite some time in a production environment and many commercial projects have been successfully completed. The second part of this-paper reflects the experiences that we have made with this approach working on the 3D reconstruction of the entire cities of East Berlin and Cologne. Numéro de notice : C2009-007 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_47.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65047

An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)  

Public contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)   Titre : An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models Type de document : Article/Communication Auteurs : Jean-Pascal Burochin , Auteur ; Nicolas Paparoditis , Auteur ; Olivier Tournaire , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 223 - 228 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] extraction de traits caractéristiques [Termes IGN] façade [Termes IGN] image terrestre [Termes IGN] modélisation 2D [Termes IGN] segmentation d'image [Termes IGN] texture d'image Résumé : (Auteur) We introduce a new unsupervised segmentation method adapted to describe façade shapes from a single calibrated street level image. The image is first rectified thanks to its vanishing points to facilitate the extraction of facade main structures which are characterized by a horizontal and vertical gradient accumulation which enhances the detection of repetitive structures. Our aim is to build a hierarchy of rectangular regions bounded by the local maxima of the gradient accumulation. The algorithm recursively splits horizontally or vertically the image into two parts by maximizing the total length of regular edges until the radiometric content of the region hypothesis corresponds to a given model (planar and generalized cylinders). A regular edge is a segment of a main gradient direction that effectively matches to a contour of the image. This segmentation could be an interesting tool for facade modelling and is in particular well suited for facade texture compression. Numéro de notice : C2009-013 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_223.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65053

Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)  

Public contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)   Titre : Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Didier Boldo , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 139 - 144 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] base de données localisées [Termes IGN] empreinte [Termes IGN] milieu urbain [Termes IGN] précision du positionnement [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation d'image Résumé : (Auteur) In the context of 3D reconstruction of wide urban areas, the use of building footprints has shown to be of great help to achieve both robustness and precision. These footprints however often present inconsistencies with the data (more than one building in the footprint, inner courts, superstructures...) This paper presents a fast and efficient algorithm to enhance the building footprint database in order to make subsequent 3D reconstructions easier, more accurate and more robust. It is based on a segmentation energy that is minimized by a split and merge approach. The algorithm is demonstrated on a wide urban area of one square kilometer. Numéro de notice : C2009-010 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_139.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65050

Circular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)  

Public contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)   Titre : Circular road sign extraction from street level images using colour, shape and texture database maps Type de document : Article/Communication Auteurs : Aurore Arlicot, Auteur ; Bahman Soheilian , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 205 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] grande échelle [Termes IGN] modélisation 3D [Termes IGN] navigation automobile [Termes IGN] reconnaissance d'objets [Termes IGN] système de numérisation mobile Résumé : (Auteur) Detection and recognition of road signs can constitute useful tools in driving assistance and autonomous navigation systems. We aim at generating a road sign database that can be used for both georeferencing in autonomous vehicle navigation systems and also in high scale 3D city modelling. This paper proposes a robust algorithm that can detect road signs shape and recognizes their types. Numéro de notice : C2009-012 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/3-W4/pub/CMRT09_205.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65052

CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)  

Public Titre : CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation Type de document : Actes de congrès Auteurs : Uwe Stilla, Éditeur scientifique ; Franz Rottensteiner, Éditeur scientifique ; Nicolas Paparoditis , Éditeur scientifique Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : 231 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement dense [Termes IGN] extraction automatique [Termes IGN] extraction de traits caractéristiques [Termes IGN] fusion d'images [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points [Termes IGN] système de numérisation mobile [Termes IGN] traitement d'image Note de contenu : - Efficient Road Mapping via Interactive Image Segmentation / O. Barinova, R. Shapovalov, S. Sudakov, A. Velizhev, A. Konushin Moscow State University, Russia - Surface Modelling for Road Networks using Multi-Source Geodata / C-Y. Lo, L-C. Chen, C-T. Chen, J-X. Chen, National Central University, Taiwan; Department of Land Administration, Taiwan - Automatic Extraction of Urban Objects from Multi-Source Aerial Data / A. Mancini, E. Frontoni P. Zingaretti, Universita Politecnica delle Marche, Italy - Road Roundabout Extraction from Very High Resolution Aerial Imagery / M. Ravanbakhsh, C. S. Fraser, University of Melbourne, Australia - Assessing the Impact of Digital Surface Models on Road Extraction in Suburban Areas by Region-based Road Subgraph Extraction / A. Grote, F. Rottensteiner, Leibniz Universitat Hannover, Germany - Vehicle Activity Indication from Airborne Lidar Data of Urban Areas by Binary Shape Classification of Point Sets / W. Yao, S. Hinz, U. Stilla, Technische Universitaet Muenchen, Germany, Universitat Karlsruhe, Germany - Trajectory-based Scene Description and Classification by Analytical Functions / D. Pfeiffer, R. Reulke, Humboldt-University of Berlin, Germany - 3D Building Reconstruction from Lidar Based on a Cell Decomposition Approach / M. Kada, L. McKinley, University of Stuttgart, Germany; Virtual City Systems, Germany - A Semi-automatic Approach to Object Extraction from a Combination of Image and Laser Data / S. A. Mumtaz, K. Mooney, The Dublin Institute of Technology, Ireland - Complex Scene Analysis in Urban Areas Based on an Ensemble Clustering Method Applied on Lidar Data / P. Ramzi, F. Samadzadegan, University of Tehran, Iran - Extracting Building Footprints from 3D Point Clouds using Terrestrial Laser Scanning at Street Level / K. Hammoudi, F. Dornaika, N. Paparoditis, Institut Geographique National, France. - Extraction of Buildings using Images & Lidar Data and a Combination of Various Methods / N. Demir, D. Poll, E. Baltsavias, ETH Zurich, Switzerland - Dense Matching in High resolution oblique airborne images / M. Gerke, ITC, The Netherlands - Comparison of Methods for Automated Building Extraction from High Resolution Image Data / G. Vozikis, GEOMETLtd, Greece - Semi-automatic City Model Extraction from Tri-stereoscopic VHR Satellite Imagery / F. Tack, R. Goossens, G. Buyuksalih, Ghent University, Belgium; IMP-Bimtas, Turkey - Automated selection of terrestrial images from sequences for the texture mapping of 3d city models / S. Benitez, C. Baillard, SIRADEL, France - Classification System of CIS-Objects using Multi-sensorial Imagery for Near-Realtime Disaster Management / D. Frey, M. Butenuth, Technische Universitaet Muenchen, Germany - An Approach for Navigation in 3D Models on mobile Devices / J. Wen, Y. Wu, F. Wang, Information Engineering University, China - Graph-based Urban Object Model Processing / K. Falkowski, J. Ebert, University of Koblenz-Landau, Germany - A Proof of Concept of Iterative DSM Improvement through SAR Scene Simulation / D. Derauw, Royal Military Academy & Universite de Lieg, Belgium - Competing 3D Priors for Object Extraction in Remote Sensing Data / K. Karantzalos, N. Paragios, Ecole Centrale de Paris, France - Object Extraction from Lidar Data using an Artificial Swarm Bee Colony Clustering Algorithm / S. Saeedi, F. Samadzadegan, N. El-Sheimy, University of Calgary, Canada; University of Tehran, Iran - Building Footprint Database Improvement for 3D Reconstruction: a Direction Aware Split and Merge Approach / B. Vallet, M. Pierrot-Deseilligny, D. Boldo, Institut Geographique National, France - A Test of Automatic Building Change Detection Approaches / N. Champion, F. Rottensteiner, L. Matikainen, X. Liang, J. Hyyppa, B.P. Olsen, Institut Geographique National, France; Leibniz Universitat Hannover, Germany; Finnish geodetic Institute, Finland; National Survey and Cadastre (KMS), Denmark - Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection / A. Schmitt, B. Wessel, A. Roth, DLR, Germany - Ray Tracing and SAR-Tomography for 3D Analysis of Microwave Scattering at Man-Made Objects / S. Auer, X. Zhu, S. Hinz, R. Bamler Technische Universitaet Muenchen, Germany; Universitat Karlsruhe, Germany; DLR, Germany - Theoretical Analysis of Building Height Estimation using Spaceborne SAR-Interferometry for Rapid Mapping Applications / S. Hinz, S. Abelen, Universitat Karlsruhe, Germany; Technische Universitaet Muenchen, Germany - Fusion of Optical and InSAR Features for Building Recognition in Urban Areas / J. D. Wegner, A. Thiele, U. Soergel, Leibniz Universitat Hannover, Germany; FGAN-FOM, Germany - Fast Vehicle Detection and Tracking in Aerial Image Bursts / K. Kozempel, R. Reulke, DLR, Germany - Refining Correctness of Vehicle Detection and Tracking in Aerial Image Sequences by Means of Velocity and Trajectory Evaluation / D. Lenhart, S. Hinz, Technische Universitaet Muenchen, Germany; Universitat Karlsruhe, Germany - Utilization of 3D City Models and Airborne Laser Scanning for Terrain-based Navigation of Helicopters and UAVs / M. Hebel, M. Arens, U. Stilla, FGAN-FOM, Germany, Germany; Technische Universitaet Muenchen, Germany - Study of SIFT Descriptors for Image Matching based Localization in Urban Street View Context / D. Picard, M. Cord, E. Valle, UPMC Paris 6, France; Univ Cergy-Pontoise, France . - Text Extraction from Street Level Images / J. Fabrizio, M. Cord, B. Marcotegui, Laboratoire d'informatique de Paris 6, France; Mathematiques et Systemes, France - Circular Road Sign Extraction from Street Level Images using Colour, Shape and Texture Database Maps / A. Arlicot, B. Soheilian, N. Paparoditis, Institut Geographique National, France - Improving Image Segmentation using Multiple View Analysis / M. Drauschke, R. Roscher, T. La'be, W. Fdrstner, University of Bonn, Germany - Refining Building Facade Models with Images / S Pu, G. Vosselman, ITC, The Netherlands - An Unsupervised Hierarchical Segmentation of a Facade Building Image in Elementary 2D - Models / J.-P. Burochin, O. Tournaire, N. Paparoditis, Institut Geographique National, France - Grammar Supported Facade Reconstruction from Mobile Lidar Mapping / S. Becker, N. Haala, University of Stuttgart, Germany Numéro de notice : 15496 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Actes DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34768

Voir aussi

• CMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)

Contient

• A test of automatic building change detection approaches / Nicolas Champion (2009)  
• Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)  
• Detection of buildings at airport sites using images and lidar data and a combination of various methods / N. Demir (2009)  
• Extracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)  
• 3D builbing reconstruction from lidar based on a cell decomposition approach / Martin Kada (01/12/2009)  
• An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)  
• Circular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)  

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
15496-01	CG2009	Livre	Centre de documentation	Congrès	Disponible
15496-03	K317	Livre	LASTIG	Dépôt en unité	Exclu du prêt

Detection of buildings at airport sites using images and lidar data and a combination of various methods / N. Demir (2009)  

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Extracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)  

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A test of automatic building change detection approaches / Nicolas Champion (2009)  

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