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A method for detecting windows from mobile lidar data / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)
[article]
Titre : A method for detecting windows from mobile lidar data Type de document : Article/Communication Auteurs : R. Wang, Auteur ; F. Ferrie, Auteur ; J. Macfarlane, Auteur Année de publication : 2012 Article en page(s) : pp 1129 - 1140 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection d'objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] façade
[Termes IGN] fenêtre (bâtiment)
[Termes IGN] semis de pointsRésumé : (Auteur) Mobile lidar (light detection and ranging) data collection is a rapidly emerging technology in which multiple georeferenced sensors (e.g., laser scanners, cameras) are mounted on a moving vehicle to collect real world data. The photorealistic modeling of large-scale real world scenes such as urban environments has become increasingly interesting to the vision, graphics, and photogrammetry communities. In this paper, we present an automatic approach to window and facade detection from mobile lidar data. The proposed method combines bottom-up with top-down strategies to extract facade planes from noisy lidar point clouds. The window detection is achieved through a two-step approach: potential window point detection and window localization. The facade pattern is automatically inferred to enhance the robustness of the window detection. Experimental results on six datasets result in 71.2 percent and 88.9 percent in the first two datasets, 100 percent for the rest four datasets in terms of completeness rate, and 100 percent correctness rate for all the tested datasets, which demonstrate the effectiveness of the proposed solution for planar facades with rectilinear windows. The application potential includes generation of building facade models with street-level details and texture synthesis for producing realistic occlusion-free facade texture. Numéro de notice : A2012-586 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1129 En ligne : https://doi.org/10.14358/PERS.78.11.1129 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32032
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1129 - 1140[article]Creating large-scale city models from 3D-Point clouds : a robust approach with hybrid representation / Florent Lafarge in International journal of computer vision, vol 99 n° 1 (August 2012)
[article]
Titre : Creating large-scale city models from 3D-Point clouds : a robust approach with hybrid representation Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Clément Mallet , Auteur Année de publication : 2012 Article en page(s) : pp 69 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] champ aléatoire de Markov
[Termes IGN] détection d'objet
[Termes IGN] données localisées 3D
[Termes IGN] méthode de réduction d'énergie
[Termes IGN] méthode robuste
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique d'objet
[Termes IGN] scène urbaine
[Termes IGN] semis de pointsRésumé : (Auteur) We present a novel and robust method for modeling cities from 3D-point data. Our algorithm provides a more complete description than existing approaches by reconstructing simultaneously buildings, trees and topologically complex grounds. A major contribution of our work is the original way of modeling buildings which guarantees a high generalization level while having semantized and compact representations. Geometric 3D-primitives such as planes, cylinders, spheres or cones describe regular roof sections, and are combined with mesh-patches that represent irregular roof components. The various urban components interact through a non-convex energy minimization problem in which they are propagated under arrangement constraints over a planimetric map. Our approach is experimentally validated on complex buildings and large urban scenes of millions of points, and is compared to state-of-the-art methods. Numéro de notice : A2012-731 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11263-012-0517-8 Date de publication en ligne : 29/02/2012 En ligne : https://doi.org/10.1007/s11263-012-0517-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91109
in International journal of computer vision > vol 99 n° 1 (August 2012) . - pp 69 - 85[article]Streamed vertical rectangle detection in terrestrial laser scans for facade database / Jérôme Demantké in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)
[article]
Titre : Streamed vertical rectangle detection in terrestrial laser scans for facade database Type de document : Article/Communication Auteurs : Jérôme Demantké , Auteur ; Bruno Vallet , Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2012 Article en page(s) : pp 99 - 104 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chevauchement
[Termes IGN] détection d'objet
[Termes IGN] échantillonnage de données
[Termes IGN] façade
[Termes IGN] fusion d'images
[Termes IGN] Ransac (algorithme)
[Termes IGN] reconnaissance de formesRésumé : (auteur) A reliable and accurate facade database would be a major asset in applications such as localization of autonomous vehicles, registration and fine building modeling. Mobile mapping devices now provide the data required to create such a database, but efficient methods should be designed in order to tackle the enormous amount of data collected by such means (a million point per second for hours of acquisition). Another important limitation is the presence of numerous objects in urban scenes of many different types. This paper proposes a method that overcomes these two issues:
• The facade detection algorithm is streamed : the data is processed in the order it was acquired. More precisely, the input data is split into overlapping blocks which are analysed in turn to extract facade parts. Close overlapping parts are then merged in order
• The geometry of the neighborhood of each point is analysed to define a probability that the point belongs to a vertical planar patch. This probability is then injected in a RANdom SAmple Consensus (RANSAC) algorithm both in the sampling step and in the hypothesis validation, in order to favour the most reliable candidates. This ensures much more robustness against outliers during the facade detection.
This way, the main vertical rectangles are detected without any prior knowledge about the data. The only assumptions are that the facades are roughly planar and vertical. The method has been successfully tested on a large dataset in Paris. The facades are detected despite the presence of trees occluding large areas of some facades. The robustness and accuracy of the detected facade rectangles makes them useful for localization applications and for registration of other scans of the same city or of entire city models.Numéro de notice : A2012-763 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-I-3-99-2012 Date de publication en ligne : 20/07/2012 En ligne : https://doi.org/10.5194/isprsannals-I-3-99-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101275
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol I-3 (2012) . - pp 99 - 104[article]Détection et localisation 3D de panneaux de signalisation [diaporama] / Bahman Soheilian (08/03/2012)
Titre : Détection et localisation 3D de panneaux de signalisation [diaporama] Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 08/03/2012 Conférence : Journées Recherche de l’IGN 2012, 21es Journées 08/03/2012 09/03/2012 Saint-Mandé France programme Importance : 38 p. Format : 30 x 21 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de formes
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] image en couleur
[Termes IGN] reconstruction 3D
[Termes IGN] signalisation routièreRésumé : (Documentaliste) L'objet de la présentation est la mise en œuvre d'un processus complet d'extraction et de reconstruction 3D de panneaux rectangulaires et triangulaires, avec une précision 3D de l'ordre de 3 cm. Numéro de notice : C2012-019 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64345 Documents numériques
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Diaporama_jr2012_matis_bsoheilian.pdfAdobe Acrobat PDF Real-time object detection with sub-pixel accuracy using the level set method / F. Burkert in Photogrammetric record, vol 26 n° 134 (June - August 2011)
[article]
Titre : Real-time object detection with sub-pixel accuracy using the level set method Type de document : Article/Communication Auteurs : F. Burkert, Auteur ; Matthias Butenuth, Auteur ; M. Ulrich, Auteur Année de publication : 2011 Article en page(s) : pp 154 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification à base de connaissances
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] niveau de gris (image)
[Termes IGN] précision infrapixellaire
[Termes IGN] reconnaissance d'objets
[Termes IGN] temps réelRésumé : (Auteur) This paper presents a method for object detection with sub-pixel accuracy in digital images satisfying real-time applications. The method uses an approximation of the level-set-based contour evolution, which applies only integer operations in a fast two-cycle algorithm to achieve real-time performance. Level-set-based contour evolution forms a part of the geometric active contour process, which combines image data and a priori geometric knowledge of an object to be evolved over an image towards the object border. The algorithm avoids the solution of partial differential equations. Instead only integer operations are applied and the contour evolution is performed by using a two-cycle algorithm. The proposed method for object detection with sub-pixel accuracy refines the pixel-accurate result of the level-set-based contour evolution algorithm by using a fast parabolic fitting mechanism. Sub-pixel accuracy of the resulting object contours is achieved by adjusting every contour point towards the nearby maximum of the image gradient. Real-time performance can be provided because the adjustment is performed only once after the contour evolution. Experimental results with images from industry, photogrammetry, remote sensing and medicine show the functionality and applicability of this method to several fields of work. In addition, the experiments are evaluated by applying quality measures for the geometric accuracy and the run time. Numéro de notice : A2011-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00633.x Date de publication en ligne : 06/06/2011 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00633.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31016
in Photogrammetric record > vol 26 n° 134 (June - August 2011) . - pp 154 - 170[article]Réservation
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