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Extracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework / Mathieu Brédif in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 57 - 65 Titre : Extracting polygonal building footprints from digital surface models: A fully-automatic global optimization framework Type de document : Article/Communication Auteurs : Mathieu Brédif , Auteur ; Olivier Tournaire, Auteur ; Bruno Vallet , Auteur ; Nicolas Champion , Auteur Année de publication : 2013 Article en page(s) : pp 57 - 65 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] détection du bâti [Termes descripteurs IGN] empreinte [Termes descripteurs IGN] milieu urbain [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] optimisation (mathématiques) Résumé : (Auteur) This paper presents a fully automatic framework to extract building footprints from a Digital Surface Model (DSM). The proposed approach may be decomposed in two steps, each of them relying on a global optimization solver. The first step aims to extract rectangular building footprints directly from the DSM using a Marked Point Process (MPP) of rectangles. We introduce an energy that prevents overlapping rectangles and aligns rectangle edges with DSM discontinuities. This energy is then embedded in a RJMCMC sampler coupled with a simulated annealing to find its global optimum. Then, the second step of our framework refines these extracted rectangles into polygonal building footprints. We first create an arrangement of line segments supporting the rectangle edges. The dual graph of this arrangement is then considered in a maximum flow optimization scheme to remove edges in the arrangement which do not correspond to building edges in the DSM. Finally, 3D results illustrate a fully automatic process to build a 3D city model from a DSM only. Numéro de notice : A2013-115 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.11.007 date de publication en ligne : 30/01/2013 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2012.11.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32253 [article]

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Generation of an integrated 3D city model with visual landmarks for autonomous navigation in dense urban areas / Bahman Soheilian (June 2013)    

Public contenu dans 2013 IEEE Intelligent Vehicles Symposium, IV 2013 / Anonyme (Oct 2013) Titre : Generation of an integrated 3D city model with visual landmarks for autonomous navigation in dense urban areas Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Olivier Tournaire, Auteur ; Nicolas Paparoditis , Auteur ; Bruno Vallet , Auteur ; Jean-Pierre Piasco, Auteur Congrès : IV 2013, IEEE Intelligent Vehicles Symposium (23 - 26 juin 2013; Gold Coast City, Australie) , Commanditaire Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : June 2013 Importance : pp 304 - 309 Note générale : bibliographie This work has been sponsored by the ANR (French National Research Agency) within the general framework of the CityVIP project (project ANR-07-TSFA-013-01) Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] base de données localisées [Termes descripteurs IGN] bati [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] navigation autonome [Termes descripteurs IGN] route [Termes descripteurs IGN] vision par ordinateur Résumé : (auteur) In the context of urban autonomous navigation systems for going from point A to point B, a practicable trajectory which takes into account drivable areas and permanent obstacles should be designed first. A robot should then follow this trajectory while avoiding not only dynamic obstacles such as cars and pedestrians but also permanent obstacles such as road sides and central islands. To this end, a robot must be aware of its exact position and must be informed of what its immediate environment is at all times. In dense urban areas, GNSS systems generally suffer from lack of precision due to masks and multipaths. Localization systems have to model these phenomena and even merge with vision based methods in order to obtain the high accuracies required in the process. In this paper, we propose an integrated geographic database enabling, on the one hand, the GNSS and vision based localization methods to obtain the required accuracy, and on the other, to provide the robots with information about its surroundings such as drivable surfaces and permanent obstacles. The database is comprised of 3D buildings, 3D roads and a set of 3D visual landmarks. Our system provides most of the information required for autonomous navigation in dense urban areas and has successfully been embedded in real experiments, thanks to a real-time querying system. Numéro de notice : C2013-041 Thématique : INFORMATIQUE/POSITIONNEMENT Nature : Communication DOI : 10.1109/IVS.2013.6629486 date de publication en ligne : 15/10/2013 En ligne : https://doi.org/10.1109/IVS.2013.6629486 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80148

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LIBRJMCMC: an open-source generic C++ library for stochastic optimization / Mathieu Brédif (2012)  

Public contenu dans Proceedings, Commission 3, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)   Titre : LIBRJMCMC: an open-source generic C++ library for stochastic optimization Type de document : Article/Communication Auteurs : Mathieu Brédif , Auteur ; Olivier Tournaire, Auteur Congrès : ISPRS 2012, 22th international congress (25 aout - 1er septembre 2012; Melbourne, Australie), Commanditaire Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 39-B3 Importance : pp 259 - 264 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Produits informatiques [Termes descripteurs IGN] algorithme du recuit simulé [Termes descripteurs IGN] algorithme RJ-MCMC [Termes descripteurs IGN] bibliothèque logicielle [Termes descripteurs IGN] code source libre [Termes descripteurs IGN] processus ponctuel marqué [Termes descripteurs IGN] programmation stochastique Résumé : (auteur) The LIBRJMCMC is an open source C++ library that solves optimization problems using a stochastic framework. The library is primarily intended for but not limited to research purposes in computer vision, photogrammetry and remote sensing, as it has initially been developed in the context of extracting building footprints from digital elevation models using a marked point process of rectangles. It has been designed to be both highly modular and extensible, and have computational times comparable to a code specifically designed for a particular application, thanks to the powerful paradigms of metaprogramming and generic programming. The proposed stochastic optimization is built on the coupling of a stochastic Reversible-Jump Markov Chain Monte Carlo (RJMCMC) sampler and a simulated annealing relaxation. This framework allows, with theoretical guarantees, the optimization of an unrestricted objective function without requiring any initial solution. The modularity of our library allows the processing of any kind of input data, whether they are 1D signals (e.g. LiDAR or SAR waveforms), 2D images, 3D point clouds... The library user has just to define a few modules describing its domain specific context: the encoding of a configuration (e.g. its object type in a marked point process context), reversible jump kernels (e.g. birth, death, modifications...), the optimized energies (e.g. data and regularization terms) and the probabilized search space given by the reference process. Similar to this extensibility in the application domain, concepts are clearly and orthogonally separated such that it is straightforward to customize the convergence test, the temperature schedule, or to add visitors enabling visual feedback during the optimization. The library offers dedicated modules for marked point processes, allowing the user to optimize a Maximum A Posteriori (MAP) criterion with an image data term energy on a marked point process of rectangles. Numéro de notice : C2012-014 Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXIX-B3-23-2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXIX-B3-259-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94277

A formulation for unsupervised hierarchical segmentation of facade images with periodic models / Jean-Pascal Burochin (01/10/2010)

Public contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, 1. Volume 1 [Papers accepted on the basis of peer-reviewed full manuscripts] / Marc Pierrot-Deseilligny (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 Congrès : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis (1 - 3 septembre 2010; Saint-Mandé, France), Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 01/10/2010 Importance : pp 227 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] alignement [Termes descripteurs IGN] approche hiérarchique [Termes descripteurs IGN] corrélation [Termes descripteurs IGN] corrélation à l'aide de traits caractéristiques [Termes descripteurs IGN] reconstruction 3D du bâti [Termes descripteurs IGN] segmentation d'image Résumé : (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 Thématique : IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65059

Panorama-based camera calibration / Bertrand Cannelle (01/10/2010)

Public contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, 1. Volume 1 [Papers accepted on the basis of peer-reviewed full manuscripts] / Marc Pierrot-Deseilligny (2010)   Titre : Panorama-based camera calibration Type de document : Article/Communication Auteurs : Bertrand Cannelle, Auteur ; Nicolas Paparoditis , Auteur ; Olivier Tournaire, Auteur Congrès : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis (1 - 3 septembre 2010; Saint-Mandé, France), Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 01/10/2010 Importance : pp 73 - 78 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] bruit (théorie du signal) [Termes descripteurs IGN] chambre panoramique [Termes descripteurs IGN] étalonnage de capteur (imagerie) Résumé : (Auteur) This paper presents a method to calibrate a camera from panoramas. Camera calibration using panoramas has two main advantages: on the one hand it requires neither ground control points or calibration patterns and on the other hand the estimation of intrinsic and distortion parameters is of higher quality due to the loop constraint and to a decorrelation of tied parameters due to the fixed perspective center. The paper is organised as follow. The first part presents the acquisition process and our mathematical estimation framework. The second part explores with simulated data sets the impact of noisy measures, of geometry of acquisition and of unmodelled parallaxes on the calibration results. A comparison with a traditional calibration method (i.e by using a 3D target network) is then studied. The final section presents results in a real case and compares the results obtained with our panorama approach against the classical calibration. The results are very promising. Numéro de notice : C2010-001 Thématique : IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65056

An efficient stochastic approach for building footprint extraction from digital elevation models / Olivier Tournaire in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)  

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Détection d'empreintes de bâtiments dans un modèle numérique d'élévation / Olivier Tournaire (19/01/2010) 

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Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, 1. Volume 1 [Papers accepted on the basis of peer-reviewed full manuscripts] / Marc Pierrot-Deseilligny (2010)  

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Photogrammetric computer vision and image analysis: ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, 2. Volume 2 [Papers accepted on the basis of abstracts] / Nicolas Paparoditis (2010)  

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An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (01/12/2009)

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A geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial images / Olivier Tournaire in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)  

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Towards a sub-decimetric georeferencing of ground-based mobile mapping systems in urban areas: matching ground-based and aerial-based imagery using roadmarks / Olivier Tournaire in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007) 

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Extraction 3D de marquages routiers à partir d'images aériennes multi-vues et quelques applications / Olivier Tournaire (2007)

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Rectangular road marking detection with marked point processes / Olivier Tournaire (2007)    

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3D road mark reconstruction from multiple calibrated aerial images / Olivier Tournaire (2006)    

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