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Auteur Mathieu Brédif
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Realtime projective multi-texturing of pointclouds and meshes for a realistic street-view web navigation / Alexandre Devaux (2016)
Titre : Realtime projective multi-texturing of pointclouds and meshes for a realistic street-view web navigation Type de document : Article/Communication Auteurs : Alexandre Devaux , Auteur ; Mathieu Brédif , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2016 Conférence : ACM Web3D 2016 22/07/2016 24/07/2016 Anaheim Californie - Etats-Unis Proceedings ACM Importance : pp 105 - 108 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données maillées
[Termes IGN] globe virtuel
[Termes IGN] rendu réaliste
[Termes IGN] semis de points
[Termes IGN] temps réel
[Termes IGN] texturage
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Street-view web applications have now gained widespread popularity. Targeting the general public, they offer ease of use, but while they allow efficient navigation from a pedestrian level, the immersive quality of such renderings is still low. The user is usually stuck at specific positions and transitions bring out artefacts, in particular parallax and aliasing. We propose a method to enhance the realism of street view navigation systems using a hybrid rendering based on realtime projective texturing on meshes and pointclouds with occlusion handling, requiring extremely minimized pre-processing steps allowing fast data update, progressive streaming (mesh-based approximation, with point cloud details) and unaltered raw data precise visualization. Numéro de notice : C2016-057 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/2945292.2945311 En ligne : https://doi.org/10.1145/2945292.2945311 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91911 Documents numériques
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Realtime projective multi-texturing... - pdf auteurAdobe Acrobat PDF Segmentation and localization of individual trees from MMS point cloud data acquired in urban areas / Martin Weinmann (2016)
Titre : Segmentation and localization of individual trees from MMS point cloud data acquired in urban areas Type de document : Article/Communication Auteurs : Martin Weinmann, Auteur ; Clément Mallet , Auteur ; Mathieu Brédif , Auteur Editeur : Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation Année de publication : 2016 Collection : Tagungsbände, ISSN 0942-2870 num. 25 Projets : IQmulus / Métral, Claudine Conférence : DGPF 2016, 36. Wissenschaftlich-Technische Jahrestagung der DGPF, Dreiländertagung der SGPF, DGPF und OVG Lösungen für eine Welt im Wandel 07/06/2016 09/06/2016 Bern Suisse OA Proceedings Importance : pp 351 - 360 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre urbain
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] zone urbaineRésumé : (auteur) In this paper, we address tree segmentation and localization in the scope of the IQmulus Processing Contest IQPC’15. Based on the part of pre-classified 3D point cloud data which corresponds to trees, we present a novel framework which involves a downsampling of the original data, a projection of the downsampled data onto a horizontally oriented plane, a mean-shift-based segmentation of the projected points, a transfer of the segmentation results to the original data, a refinement of the segmentation results via segment-based shape analysis, and a localization of respective tree trunks. The results derived for a benchmark dataset reveal that all individual trees are correctly detected and localized with both acceptable accuracy and reasonable computational effort. Numéro de notice : C2016-061 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans En ligne : https://www.dgpf.de/src/tagung/jt2016/start.html Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91920 Documents numériques
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Segmentation and localization... - pdf auteurAdobe Acrobat PDF
Titre : Single-image interactive 3D generalized cylinder modeling Type de document : Article/Communication Auteurs : Murat Yirci, Auteur ; Mathieu Brédif , Auteur ; Nicolas Paparoditis , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2016 Projets : 1-Pas de projet / Métral, Claudine Conférence : JFIG 2016, 29èmes Journées Française d’Informatique Graphique de l'AFIG, du GdR IG-RV du CNRS et du Chapitre Français d’EG 30/11/2016 02/12/2016 Grenoble France OA Proceedings Importance : 4 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] filtrage numérique d'image
[Termes IGN] incertitude géométrique
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] profondeurRésumé : (auteur) Projective texturing is a commonly used image based rendering technique that enables the synthesis of novel views from the blended reprojection of nearby views on a coarse geometry proxy approximating the scene. When scene geometry is inexact, aliasing artefacts occur. This introduces disturbing artefacts in applications such as street-level immersive navigation in mobile mapping imagery, since a pixel-accurate modelling of the scene geometry and all its details is most of the time out of question. The filtered blending approach applies the necessary 1D low-pass filtering on the projective texture to trade out the aliasing artefacts at the cost of some radial blurring. This paper proposes extensions of the filtered blending approach. Firstly, we introduce Integral Radial Images that enable constant time radial box filtering and show how they can be used to apply box-filtered blending in constant time independently of the amount of depth uncertainty. Secondly, we show a very efficient application of filtered blending where the scene geometry is only given by a loose depth interval prior rather than an actual geometry proxy. Thirdly, we propose a silhouette-aware extension of the box-filtered blending that not only account for uncertain depth along the viewing ray but also for uncertain silhouettes that have to be blurred as well. Numéro de notice : C2016-062 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans En ligne : https://hal.science/hal-02551493 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96339 The iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds / Jan Böhm (2016)
Titre : The iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds Type de document : Article/Communication Auteurs : Jan Böhm , Auteur ; Mathieu Brédif , Auteur ; T. Gierlinger, Auteur ; M. Krämer, Auteur ; R.E. Lindenberg, Auteur ; K. Liu, Auteur ; F. Michel, Auteur ; B. Sirmacek, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2016 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 41-B3 Projets : IQmulus / Métral, Claudine Conférence : ISPRS 2016, Commission 3, 23th international congress 12/07/2016 19/07/2016 Prague République tchèque ISPRS OA Archives Commission 3 Importance : pp 301 - 307 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse en composantes principales
[Termes IGN] arbre urbain
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] données massives
[Termes IGN] semis de points
[Termes IGN] Spark
[Termes IGN] Toulouse
[Termes IGN] traitement de données localiséesRésumé : (auteur) Current 3D data capturing as implemented on for example airborne or mobile laser scanning systems is able to efficiently sample the surface of a city by billions of unselective points during one working day. What is still difficult is to extract and visualize meaningful information hidden in these point clouds with the same efficiency. This is where the FP7 IQmulus project enters the scene. IQmulus is an interactive facility for processing and visualizing big spatial data. In this study, the potential of IQmulus is demonstrated on a laser mobile mapping point cloud of 1 billion points sampling ~ 10 km of street environment in Toulouse, France. After the data is uploaded to the IQmulus Hadoop Distributed File System, a workflow is defined by the user consisting of retiling the data followed by a PCA driven local dimensionality analysis, which runs efficiently on the IQmulus cloud facility using a Spark implementation. Points scattering in 3 directions are clustered in the tree class, and are separated next into individual trees. Five hours of processing at the 12 node computing cluster results in the automatic identification of 4000+ urban trees. Visualization of the results in the IQmulus fat client helps users to appreciate the results, and developers to identify remaining flaws in the processing workflow. Numéro de notice : C2016-041 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLI-B3-301-2016 Date de publication en ligne : 09/06/2016 En ligne : https://doi.org/10.5194/isprs-archives-XLI-B3-301-2016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91853 Documents numériques
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The iQmulus urban showcase ... - pdf éditeurAdobe Acrobat PDF
Titre : Visibility estimation and joint inpainting of lidar depth maps Type de document : Article/Communication Auteurs : Marco Bevilacqua, Auteur ; Jean-François Aujol, Auteur ; Mathieu Brédif , Auteur ; Aurélie Bugeau, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2016 Projets : 1-Pas de projet / Métral, Claudine Conférence : ICIP 2016, 23rd IEEE International Conference on Image Processing 25/09/2016 28/09/2016 Phoenix Arizona - Etats-Unis Proceedings IEEE Importance : pp 3503 - 3507 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carte de profondeur
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] retouche
[Termes IGN] semis de points
[Termes IGN] visibilitéRésumé : (auteur) This paper presents a novel variational image inpainting method to solve the problem of generating, from 3-D lidar measures, a dense depth map coherent with a given color image, tackling visibility issues. When projecting the lidar point cloud onto the image plane, we generally obtain a sparse depth map, due to undersampling. Moreover, lidar and image sensor positions generally differ during acquisition, such that depth values referring to objects that are hidden from the image view point might appear with a naive projection. The proposed algorithm estimates the complete depth map, while simultaneously detecting and excluding those hidden points. It consists in a primal-dual optimization method, where a coupled total variation regularization term is included to match the depth and image gradients and a visibility indicator handles the selection of visible points. Tests with real data prove the effectiveness of the proposed strategy. Numéro de notice : C2016-035 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2016.7533011 Date de publication en ligne : 19/08/2016 En ligne : https://doi.org/10.1109/ICIP.2016.7533011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91794 Street environment change detection from mobile laser scanning point clouds / Wen Xiao in ISPRS Journal of photogrammetry and remote sensing, vol 107 (September 2015)Permalinkvol II-3 W5 - October 2015 - [actes] ISPRS Geospatial Week 2015, 28 September–3 October 2015, La Grande Motte, France (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Clément MalletPermalinkTerraMobilita/iQmulus urban point cloud analysis benchmark / Bruno Vallet in Computers and graphics, vol 49 (June 2015)PermalinkExtracting mobile objects in images using a Velodyne lidar point cloud / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkRoad marking extraction using a model&data-driven RJ-MCMC / Alexandre Hervieu in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkPermalinkPermalinkInvestigating the mobile phone data to estimate the origin destination flow and analysis, a case study: Paris region / Anahid Nabavi-Larijani in Transportation Research Procedia, vol 6 (2015)PermalinkA hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada / Junjie Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 98 (December 2014)PermalinkDetecting blind building façades from highly overlapping wide angle aerial imagery / Jean-Pascal Burochin in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkCombinatorial clustering and its application to 3D polygonal traffic sign reconstruction from multiple images / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)PermalinkMulti-view 3D circular target reconstruction with uncertainty analysis / Bahman Soheilian in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)PermalinkProjective texturing uncertain geometry: silhouette-aware box-filtered blending using integral radial images / Mathieu Brédif in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)PermalinkImagerie terrestre urbaine : vers une méthode physique d'estimation de la réflectance / Fabien Coubard (2014)PermalinkA stochastic method for the generation of optimized building-layouts respecting urban regulation / Shuang He (oct 2014)PermalinkImage-based rendering of LOD1 3D city models for traffic-augmented immersive street-view navigation / Mathieu Brédif in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W3 (November 2013)PermalinkSingle tree detection from airborne laser scanning data using a marked point process based method / Junjie Zhang in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W1 (May 2013)PermalinkExtracting 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)Permalink2D arrangement-based hierarchical spatial partitioning: an application to pedestrian network generation / Murat Yirci (2013)PermalinkA hybrid multiview stereo algorithm for modeling urban scenes / Florent Lafarge in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol 35 n° 1 (January 2013)PermalinkDetecting and correcting motion blur from images shot with channel-dependent exposure time / Lâmân Lelégard in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkAn accuracy assessment of automated photogrammetric techniques for 3D modeling of complex interiors / Athanasios Georgantas (2012)PermalinkPermalinkPermalinkA web-based 3D mapping application using WebGL allowing interaction with images, point clouds and models / Alexandre Devaux (2012)PermalinkAmélioration d'une base de données d'empreintes de bâtiments pour la reconstruction 3D : une approche par découpe et fusion / Bruno Vallet in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)PermalinkBuilding footprint database improvement for 3D reconstruction: A split and merge approach and its evaluation / Bruno Vallet in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 5 (September - October 2011)PermalinkThe EuroSDR project "radiometric aspects of digital photogrammetric images" : results of the empirical phase / Eija Honkavaara (01/06/2011)PermalinkEstimation de la réflectance de matériaux d'une scène urbaine : modélisation et méthode d'inversion / Fabien Coubard in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)PermalinkPermalinkPermalinkPermalinkPermalinkReflectance estimation from urban terrestrial images: validation of a symbolic ray-tracing method on synthetic data / Fabien Coubard (2011)PermalinkAn 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)PermalinkInsertion of 3-D-primitives in mesh-based representations: Towards compact models preserving the details / Florent Lafarge in IEEE Transactions on image processing, vol 19 n° 7 (July 2010)PermalinkAmélioration d'une base de données d'empreintes de bâtiments pour la reconstruction 3D : une approche par découpe et fusion / Bruno Vallet (2010)PermalinkDétection d'empreintes de bâtiments dans un modèle numérique d'élévation : une approche énergétique / Olivier Tournaire (2010)PermalinkPermalinkMotion blur detection in aerial images shot with channel-dependent exposure time / Lâmân Lelégard (2010)PermalinkCombining meshes and geometric primitives for accurate and semantic modeling / Florent Lafarge (2009)PermalinkAn efficient approach to building superstructure reconstruction using digital elevation maps / Fadi Dornaika (2008)PermalinkPermalinkPermalink
senior researcher in LaSTIG - GEOVIS team
https://arxiv.org/a/mathieu-bredif