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3D roof details by 3D aerial vision / Philip Meixner (2011)    

Public Titre : 3D roof details by 3D aerial vision Type de document : Article/Communication Auteurs : Philip Meixner, Auteur ; Franz W. Leberl, Auteur ; Mathieu Brédif , Auteur Editeur : New-York : IEEE Computer society Année de publication : 2011 Conférence : ICCVW 2011, IEEE International Conference on Computer Vision Workshops 06/11/2011 13/11/2011 Barcelone Espagne Proceedings IEEE Importance : pp 212 - 218 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] semis de points Résumé : (auteur) Virtual cities in a 3D GIS will not be complete without the details of roofs with chimneys, dormer windows, skylights. We contribute a method of extracting such details from digital large format aerial photography. The dense point clouds produced by a photogrammetric process produce major and minor plane surfaces of a roof and enter into a classification of its superstructures. In real city data with a total of 1312 superstructures the proposed automated process finds 1024, thus achieving success at a rate of 78%. Numéro de notice : C2011-060 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICCVW.2011.6130245 Date de publication en ligne : 16/01/2012 En ligne : https://doi.org/10.1109/ICCVW.2011.6130245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101204

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Interpretation of 2D and 3D building details on facade and roofs / Philip Meixner (2011)    

Public contenu dans Photogrammetric image analysis PIA 11, Munich, Germany, October 5-7, 2011 / Uwe Stilla (2011)   Titre : Interpretation of 2D and 3D building details on facade and roofs Type de document : Article/Communication Auteurs : Philip Meixner, Auteur ; Franz W. Leberl, Auteur ; Mathieu Brédif , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2011 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W22 Conférence : PIA 2011, ISPRS Conference on Photogrammetric Image Analysis 05/10/2011 07/10/2011 Munich Allemagne OA ISPRS Archives Importance : pp 137 - 142 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation [Termes IGN] couple stéréoscopique [Termes IGN] extraction de traits caractéristiques [Termes IGN] façade [Termes IGN] habitat urbain [Termes IGN] image aérienne à axe vertical [Termes IGN] image terrestre [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] segmentation sémantique [Termes IGN] semis de points [Termes IGN] toit Résumé : (auteur) Current Internet-inspired mapping data are in the form of street maps, orthophotos, 3D models or street-side images and serve to support mostly search and navigation. Yet the only mapping data that currently can really be searched are the street maps via their addresses and coordinates. The orthophotos, 3D models and street-side images represent predominantly “eye candy” with little added value to the Internet-user. We are interested in characterizing the elements of the urban space from imagery. In this paper, we discuss the use of street side imagery and aerial imagery to develop descriptions of urban spaces, initially of building facades and roofs. We present methods (a) to segment facades using high-overlap street side facade images, (b) to map facades and facade details from vertical aerial images, and (c) to characterize roofs by their type and details, also from aerial photography. This paper describes a method of roof segmentation with the goal of assigning each roof to a specific architectural style. Questions of the use of the attic space, or the placement of solar panels, are of interest. It is of interest that roofs have recently been mapped using LiDAR point clouds. We demonstrate that aerial images are a useful and economical alternative to LiDAR for the characterization of buildingroofs, and that they also contain very valuable information about facades. Numéro de notice : C2011-039 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXVIII-3-W22-137-2011 Date de publication en ligne : 26/04/2013 En ligne : https://doi.org/10.5194/isprsarchives-XXXVIII-3-W22-137-2011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92346

Documents numériques

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Planar roof surface segmentation using 3D vision / Philip Meixner (2011)  

Public 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

Testing measurement accuracy in oblique photography using Pixo View technology / J. Sukup in Geoinformatics, vol 12 n° 5 (01/07/2009)

Public [article]  inGeoinformatics > vol 12 n° 5 (01/07/2009) . - pp 36 - 40 Titre : Testing measurement accuracy in oblique photography using Pixo View technology Type de document : Article/Communication Auteurs : J. Sukup, Auteur ; Philip Meixner, Auteur ; K. Sukup, Auteur Année de publication : 2009 Article en page(s) : pp 36 - 40 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] photographie aérienne oblique [Termes IGN] photographie numérique [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) With an increase in applications relating to the use of oblique photography, there is now a demand to determine what degree of accuracy can be achieved with oblique photography single-picture measurements in the PixoView application. Copyright GEOinformatics Numéro de notice : A2009-281 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29911 [article]

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