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Auteur Nicolas Paparoditis
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Since 2016, director of the ENSG géomatique (IGN)
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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)
[article]
Titre : A geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial images Type de document : Article/Communication Auteurs : Olivier Tournaire , Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2009 Article en page(s) : 12 p. ; pp 621 - 631 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] base de données routières
[Termes IGN] chaîne de Markov
[Termes IGN] extraction du réseau routier
[Termes IGN] fonction de Green
[Termes IGN] image aérienne
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] objet géographique linéaire
[Termes IGN] processus ponctuel marqué
[Termes IGN] programmation stochastique
[Termes IGN] réseau routier
[Termes IGN] signalisation routièreRésumé : (Auteur) Road detection has been a topic of great interest in the photogrammetric and remote sensing communities since the end of the 70s. Many approaches dealing with various sensor resolutions, the nature of the scene or the wished accuracy of the extracted objects have been presented. This topic remains challenging today as the need for accurate and up-to-date data is becoming more and more important. Based on this context, we will study in this paper the road network from a particular point of view, focusing on road marks, and in particular dashed lines. Indeed, they are very useful clues, for evidence of a road, but also for tasks of a higher level. For instance, they can be used to enhance quality and to improve road databases. It is also possible to delineate the different circulation lanes, their width and functionality (speed limit, special lanes for buses or bicycles...). In this paper, we propose a new robust and accurate top_down approach for dashed line detection based on stochastic geometry. Our approach is automatic in the sense that no intervention from a human operator is necessary to initialise the algorithm or to track errors during the process. The core of our approach relies on defining geometric, radiometric and relational models for dashed lines objects. The model also has to deal with the interactions between the different objects making up a line, meaning that it introduces external knowledge taken from specifications. Our strategy is based on a stochastic method, and in particular marked point processes. Our goal is to find the objects configuration minimising an energy function made-up of a data attachment term measuring the consistency of the image with respect to the objects and a regularising term managing the relationship between neighbouring objects. To sample the energy function, we use Green algorithm's; coupled with a simulated annealing to find its minimum. Results from aerial images at various resolutions are presented showing that our approach is relevant and accurate as it can handle the most frequent layouts of dashed lines. Some issues, for instance, such as the relative weighting of both terms of the energy are also discussed in the conclusion. Copyright 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Numéro de notice : A2009-494 Affiliation des auteurs : IGN (1940-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.05.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.05.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30123
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 6 (November - December 2009) . - 12 p. ; pp 621 - 631[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-09061 RAB Revue Centre de documentation En réserve L003 Disponible Face blurring for privacy in street-level geoviewers combining face, body and skin detectors / Alexandre Devaux (20/05/2009)
contenu dans Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)
Titre : Face blurring for privacy in street-level geoviewers combining face, body and skin detectors Type de document : Article/Communication Auteurs : Alexandre Devaux , Auteur ; F. Precioso, Auteur ; Bertrand Cannelle , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Association for Pattern Recognition IAPR Année de publication : 20/05/2009 Conférence : MVA 2009, IAPR Conference on Machine Vision Applications 20/05/2009 22/05/2009 Yokohama Japon open access proceedings Importance : 4 p. Format : 21 X 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] détection de piéton
[Termes IGN] image panoramique
[Termes IGN] protection de la vie privéeRésumé : (Auteur) In the last two years, web-based applications using street-level images have been developing fast. In that context, privacy preservation is an unavoidable issue. We present in this paper a multi-boosting based approach to detect pedestrians in high resolution panoramics in order to blur their faces. This task is quite complex since these features vary in size, shape, color, and often are partially occluded, sometimes behind windows or inside cars, etc. Our strategy is thus based on the combination of two existing boosting algorithms detecting faces and bodies with a skin tone detection algorithm we developed. The results are quite encouraging for such an unconstrained data: 86:2% of true positives and an average of 2 false positive detections per image (2.1 MPixels). This combination solution provides much more robust results than each detection algorithm performed independently. Numéro de notice : C2009-051 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/03-15.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64293 An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)
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'imageRésumé : (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 Automatic gigapixel mosaïcing in large scale unstructured underground environments / Daniela Craciun (2009)
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 PDF Bundle adjustment and pose estimation of images of a multiframe panoramic camera / Bertrand Cannelle (2009)
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 PDF Circular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)PermalinkCMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)PermalinkCMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)PermalinkExtracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)PermalinkReconstruction de façades de bâtiments par appariement dense d’images terrestres géoréférencées haute résolution / Lionel Pénard (2009)PermalinkThe five points pose problem: A new and accurate solution adapted to any geometric configuration / Mahzad Kalantari (2009)PermalinkPopulating a building Multi Representation Data Base with photogrammetric tools: recent progress / B. Frederique in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)PermalinkNouvelles tendances [en photogrammétrie] / Nicolas Paparoditis in Géomètre, n° 2048 (mai 2008)PermalinkUne période charnière pour la discipline [photogrammétrie] / Laurent Polidori in Géomètre, n° 2048 (mai 2008)PermalinkEstimation automatique de l'orientation relative : une approche directe basée sur la résolution de systèmes polynomiaux multivariables / Mahzad Kalantari in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)Permalink