Détail de l'éditeur
Documents disponibles chez cet éditeur (30)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Titre : Planar roof surface segmentation using 3D vision Type de document : Article/Communication Auteurs : Philip Meixner, Auteur ; Franz W. Leberl, Auteur ; Mathieu Brédif , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2011 Conférence : SIGSPATIAL GIS 2011, 19th ACM International Conference on Advances in Geographic Information Systems 01/11/2011 04/11/2011 Chicago Illinois - Etats-Unis Proceedings ACM Importance : 6 p. Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) Internet search has initially been a strong driving force for the rapid emergence of 3D building models of large urban areas. Additionally, many commercial and governmental initiatives have been started to develop urban 3D geographic information systems in a transition from the classical 2D- to the novel 3D-GIS. The modeling of building roofs is thus a relevant research topic. The focus has been on the use of aerial LiDAR point clouds (Light Detection And Ranging). However, recent progress in digital aerial cameras has rendered possible the acquisition of very dense point clouds from high overlap digital aerial imagery, and to use these point clouds jointly with the image information to generate 3D building models. This paper presents a multi-step processing framework and work flow for the automatic segmentation of building roofs in densely built-up areas from high-resolution vertical aerial images. Details extruding from, or intruding into, a roof are being excluded so that each roof is being modeled by means of its planar segments and can then be classified as a specific roof type from a set of standard roof shapes. Our experimental work employs a test area in Graz (Austria) with 186 buildings. Numéro de notice : C2011-089 Affiliation des auteurs : MATIS+Ext (1993-2011) Autre URL associée : vers HAL Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/2093973.2093976 Date de publication en ligne : 01/11/2011 En ligne : https://doi.org/10.1145/2093973.2093976 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101482
Titre : Increasing interactivity in street view web navigation systems Type de document : Article/Communication Auteurs : Alexandre Devaux , Auteur ; Nicolas Paparoditis , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2010 Conférence : MM 2010, 18th ACM International Conference on Multimedia 25/10/2010 29/10/2010 Florence Italie Proceedings ACM Importance : pp 903 - 906 Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] image Streetview
[Termes IGN] interactivitéRésumé : (auteur) This paper presents some interactive features we have added on our street-view web navigation application. Our system allows to navigate through a huge amount of data (panoramas and laser clouds) and also to interact with it. We will detail 4 aspects of this interactivity. First, the labelling, displaying of features directly into the images in the 3D space, useful for general public but also researchers in image processing and computer vision. Secondly we propose a crowd sourcing mode for blurring people not automatically detected. Thirdly we offer the possibility for the web user to localize and measure in 3D all objects visible in the images by plotting only in one image. Finally we developed a multimedia editor that allows public administrations (like town halls, museums, operas, theaters, etc.) to add interactive content like video or images at the exact 3D position/orientation/size they chose with an easy manipulating editor to augment with realism the static scenes with dynamic or fresher elements. Numéro de notice : C2010-038 Affiliation des auteurs : MATIS (1993-2011) Thématique : GEOMATIQUE/IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/1873951.1874109 Date de publication en ligne : 25/10/2010 En ligne : https://doi.org/10.1145/1873951.1874109 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93485 CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
Titre : CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France : Proceedings Type de document : Actes de congrès Auteurs : Richard Chbeir, Éditeur scientifique ; Youakim Badr, Éditeur scientifique ; Ajith Abraham, Éditeur scientifique ; Dominique Laurent , Éditeur scientifique ; Fernando Ferri, Éditeur scientifique Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2008 Conférence : CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM Importance : 693 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-1-60558-046-3 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] algorithmique
[Termes IGN] architecture logicielle
[Termes IGN] classification
[Termes IGN] découverte de connaissances
[Termes IGN] exploration de données
[Termes IGN] ingénierie des connaissances
[Termes IGN] logique floue
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réseau neuronal artificielNuméro de notice : 19702 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes DOI : sans En ligne : https://dl.acm.org/doi/proceedings/10.1145/1456223 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82642 ContientRéservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 19702-01 CG2008 Livre Centre de documentation Congrès Disponible Diagnosis in systems based on an informed tree search strategy: application to cartographic generalisation / Patrick Taillandier (2008)
contenu dans CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
Titre : Diagnosis in systems based on an informed tree search strategy: application to cartographic generalisation Type de document : Article/Communication Auteurs : Patrick Taillandier , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2008 Conférence : CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM Importance : pp 589 - 594 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre (mathématique)
[Termes IGN] base de connaissances
[Termes IGN] découverte de connaissances
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] stratégie
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation function. One approach to solve this kind of problem is to use an informed search strategy. The principle of this kind of strategy is to use problem-specific knowledge beyond the definition of the problem itself to find solutions more efficiently than with an uninformed strategy. This kind of strategy demands to define problem-specific knowledge (heuristics). The efficiency and the effectiveness of systems based on it directly depend on the used knowledge quality. Unfortunately, acquiring and maintaining such knowledge can be fastidious. The objective of the work presented in this paper is to propose an automatic knowledge revision approach for systems based on an informed tree search strategy. Our approach consists in analysing the system execution logs and revising knowledge based on these logs by modelling the revision problem as a knowledge space exploration problem. We present an experiment we carried out in an application domain where informed search strategies are often used: cartographic generalisation. Numéro de notice : C2008-020 Affiliation des auteurs : COGIT (1988-2011) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/1456223.1456344 En ligne : https://doi.org/10.1145/1456223.1456344 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93487 Knowledge revision in systems based on an informed tree search strategy: application to cartographic generalisation / Patrick Taillandier (2008)
contenu dans CSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)
Titre : Knowledge revision in systems based on an informed tree search strategy: application to cartographic generalisation Type de document : Article/Communication Auteurs : Patrick Taillandier , Auteur ; Cécile Duchêne , Auteur ; Alexis Drogoul, Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2008 Conférence : CSTST 2008, 5th International conference on soft computing as transdisciplinary science and technology 28/10/2008 31/10/2008 Cergy-Pontoise France Proceedings ACM Importance : pp. 273 - 278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre (mathématique)
[Termes IGN] base de connaissances
[Termes IGN] découverte de connaissances
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] révision des connaissances
[Termes IGN] stratégie
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation function. One approach to solve this kind of problem is to use an informed search strategy. The principle of this kind of strategy is to use problem-specific knowledge beyond the definition of the problem itself to find solutions more efficiently than with an uninformed strategy. This kind of strategy demands to define problem-specific knowledge (heuristics). The efficiency and the effectiveness of systems based on it directly depend on the used knowledge quality. Unfortunately, acquiring and maintaining such knowledge can be fastidious. The objective of the work presented in this paper is to propose an automatic knowledge revision approach for systems based on an informed tree search strategy. Our approach consists in analysing the system execution logs and revising knowledge based on these logs by modelling the revision problem as a knowledge space exploration problem. We present an experiment we carried out in an application domain where informed search strategies are often used: cartographic generalisation. Numéro de notice : C2008-006 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Communication DOI : 10.1145/1456223.1456281 En ligne : http://dx.doi.org/10.1145/1456223.1456281 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82644 AAMAS 03: Proceedings of the second international joint conference on autonomous agents and multiagent systems, July 14-18, 2003, Melbourne, Australia / Jeffrey S. Rosenschein (2003)PermalinkPermalinkFirst international workshop on programming multiagents systems / Amal El Fallah-Seghrouchni (2003)PermalinkSpatial information retrieval and geographical ontologies an overview of the SPIRIT project / Christopher B. Jones (2002)PermalinkCartographic generalization as a combination of representing and abstracting knowledge / Sébastien Mustière (1999)PermalinkPermalink