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Airborne lidar feature selection for urban classification using random forests / Nesrine Chehata (2009)
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contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)
Titre : Airborne lidar feature selection for urban classification using random forests Type de document : Article/Communication Auteurs : Nesrine Chehata , Auteur ; Li Guo, Auteur ; Clément Mallet
, 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/W8 Conférence : ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings Importance : pp 207 - 212 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] lidar à retour d'onde complèteRésumé : (Auteur) Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar feature selection for urban scene classification. Random forests are used since they provide an accurate classification and run efficiently on large datasets. Moreover, they return measures of variable importance for each class. The feature selection is obtained by backward elimination of features depending on their importance. This is crucial to analyze the relevance of each lidar feature for the classification of urban scenes. The Random Forests classification using selected variables provide an overall accuracy of 94.35%. Numéro de notice : C2009-005 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : FORET/IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/207_laserscanning09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65045 Automatic gigapixel mosaïcing in large scale unstructured underground environments / Daniela Craciun (2009)
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contenu dans Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)
Titre : Automatic gigapixel mosaïcing in large scale unstructured underground environments Type de document : Article/Communication Auteurs : Daniela Craciun , Auteur ; Francis Schmitt, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2009 Conférence : MVA 2009, IAPR Conference on Machine Vision Applications 20/05/2009 22/05/2009 Yokohama Japon open access proceedings Importance : pp 13 - 16 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] caméra numérique
[Termes IGN] grande échelle
[Termes IGN] grotte
[Termes IGN] image gigapixel
[Termes IGN] mosaïquage d'images
[Termes IGN] mosaïque d'images
[Termes IGN] TautavelRésumé : (Auteur) We are currently developing a vision-based system aiming at automatically generating in situ ultra-high resolution mosaics in previously unknown, complex and unstructured underground environments. Nowadays, image stitching algorithms present several limitations when dealing with unstructured environments. The most important to our concern is the ability to deal with feature-less areas. In this paper we describe an automatic on line Gigapixel mosaicing system capable to deal with the absence of reliably detectable and trackable features. The input of our algorithm is a pose-annotated sequence of high-resolution images acquired from a common optical center by a calibrated pantilt motorized digital camera unit. The proposed mosaïcing system is powered by a global-to-local pairwise image alignment which recovers the rotations relating the overlapping images in a coarse-to-fine approach. The local motion procedure outputs a list of locally matched anonymous features which are later injected in a bundle adjustment engine for multi-view fine alignment. The proposed algorithm combines the state of the art mosaicing techniques in a complementary and efficient fashion providing an environment-independent solution for the image mosaicing task. The final output of the algorithm is a Gigapixel spherical mosaic rendering. Tests on real data acquired in a prehistorical cave (Tautavel Cave, France) illustrate mosaicing examples obtained from several hundreds of high-resolution images. Numéro de notice : C2009-053 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.mva-org.jp/Proceedings/2009CD/papers/02-01.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64292 Documents numériques
en open access
13877_commu_mva_2009_craciun_et_al.pdfAdobe Acrobat PDFBundle adjustment and pose estimation of images of a multiframe panoramic camera / Bertrand Cannelle (2009)
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Titre : Bundle adjustment and pose estimation of images of a multiframe panoramic camera Type de document : Article/Communication Auteurs : Bertrand Cannelle , Auteur ; Daniela Craciun
, Auteur ; Didier Boldo
, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2009 Conférence : O3DMT 2009, 9th Optical 3-D Measurement Techniques Conference 01/07/2009 03/07/2009 Vienne Autriche open access proceedings Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] compensation par faisceaux
[Termes IGN] image panoramique
[Termes IGN] image terrestre
[Termes IGN] orientation d'image
[Termes IGN] orientation relative
[Termes IGN] photothéodolite
[Termes IGN] SIFT (algorithme)
[Termes IGN] StéréopolisRésumé : (Auteur) The STEREOPOLIS mobile mapping system, developed in the MATIS laboratory of IGN for city modelling and multimedia applications, integrates a panoramic head composed of 10 full HD cameras very accurately synchronised. For each pose, a panoramic image is generated from the set of corresponding but poorly overlapping images. In this paper, we evaluate the performance of a three-step method developed in Craciun that computes the relative pose between the different frame camera images composing the panoramic frame. A phototheodolite, i.e. a theodolite coupled with a digital camera, is used to construct a reference data set with a ground truth which is sufficiently accurate (to some extent) to evaluate by comparison the results of our pose estimation process. We present the different steps to compute, then we present the algorithm which is used as well as mathematic concept and finally results are commented the results of our pose estimation process will also be compared with an off-the-shelf high quality software using SIFT-based corresponding points and bundle adjustment, i.e. Autopano. Numéro de notice : 13847 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64283 Documents numériques
en open access
13847_commu_optical3d2009_cannelle_et_al.pdfAdobe Acrobat PDFCircular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)
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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 mobileRésumé : (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)
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 ; Nicolas Paparoditis , Éditeur scientifique ; International society for photogrammetry and remote sensing (1980 -), Producteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion d'images
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] système de numérisation mobile
[Termes IGN] traitement d'imageIndex. décimale : MULTIM Cédéroms et DVD rangés en armoire grise près de l'accueil Numéro de notice : 15496Z Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : IMAGERIE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64092 Voir aussiRéservation
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