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reconstruction d'objetSynonyme(s)reconstruction de surface |
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Titre : Qualification sémantique de modèles 3D de bâtiments Type de document : Article/Communication Auteurs : Oussama Ennafii , Auteur ; Arnaud Le Bris
, Auteur ; Florent Lafarge, Auteur ; Clément Mallet
, Auteur
Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2018 Projets : 1-Pas de projet / Conférence : CFPT 2018, Conférence Française de Photogrammétrie et de Télédétection 25/06/2018 28/06/2018 Champs-sur-Marne France Open Access Proceedings Importance : 3 p. Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] attribut sémantique
[Termes IGN] bati
[Termes IGN] information sémantique
[Termes IGN] niveau de détail
[Termes IGN] polyèdre
[Termes IGN] reconstruction 3D du bâtiRésumé : (auteur) [introduction] […] Ce travail s’intéresse à l’évaluation sémantique de modèles polyédriques urbains à un niveau de détails (LoD) prédéfini [4]. Il s’agit de modèles 3D résultant d’une méthode de reconstruction urbaine, bâtiment par bâtiment. Un modèle reconstruit au niveau LoD1 est une simple extrusion de bâtiment. Une modélisation de niveau LoD2 correspond à une simplification géométrique du bâtiment. Ce niveau ignore les superstructures (comme cheminées ou chiens assis) qui sont prises en compte à partir du niveau LoD3. Le LoD des modèles varie selon les applications et la résolution spatiale des données en entrée. Numéro de notice : C2018-015 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Poster nature-HAL : Poster-avec-CL DOI : sans Date de publication en ligne : 25/06/2018 En ligne : https://rfiap2018.ign.fr/sites/default/files/ARTICLES/CFPT2018/Posters/CFPT2018_ [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90386 Documents numériques
en open access
Qualification sémantique ... - pdf éditeurAdobe Acrobat PDF
Titre : Topographic laser ranging and scanning : principles and processing Type de document : Guide/Manuel Auteurs : Jie Shan, Éditeur scientifique ; Charles K. Toth, Éditeur scientifique Mention d'édition : Second edition Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2018 Importance : 637 p. ISBN/ISSN/EAN : 978-1-315-15438-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contrôle qualité
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle numérique de terrain
[Termes IGN] orthorectification
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreIndex. décimale : 33.80 Lasergrammétrie Résumé : (éditeur) This Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. Note de contenu : 1. Introduction to Laser Ranging, Profiling, and Scanning
2. Terrestrial Laser Scanners
3. Airborne and Spaceborne Laser Profilers and Scanners
4. LiDAR Systems and Calibration
5. Pulsed Laser Altimeter Ranging Techniques and Implications for Terrain Mapping
6. Georeferencing Component of LiDAR Systems
7. Full-Waveform Analysis for Pulsed Laser Systems
8. Strip Adjustment
9. Accuracy, Quality Assurance, and Quality Control of Light Detection and Ranging Mapping
10. Data Management of Light Detection and Ranging
11. LiDAR Data Filtering and Digital Terrain Model Generation
12. Forest Inventory Using Laser Scanning
13. Integration of LiDAR and Photogrammetric Data: Triangulation and Orthorectification
14. Feature Extraction from Light Detection and Ranging Data in Urban Areas
15. Global Solutions to Building Segmentation and Reconstruction
16. Building and Road Extraction from LiDAR Data
17. Progressive Modeling of 3D Building Rooftops from Airborne LiDAR and Imagery
18. A Framework for Automated Construction of Building Models from Airborne LiDAR Measurements
19. Quality of Buildings Extracted from Airborne Laser Scanning Data—Results of an Empirical Investigation on 3D Building ReconstructionNuméro de notice : 26946 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/URBANISME Nature : Manuel DOI : 10.1201/9781315154381 En ligne : https://doi.org/10.1201/9781315154381 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102179 Algebraic method to speed up robust algorithms: example of laser-scanned point clouds / B. Palancz in Survey review, vol 49 n° 357 (December 2017)
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[article]
Titre : Algebraic method to speed up robust algorithms: example of laser-scanned point clouds Type de document : Article/Communication Auteurs : B. Palancz, Auteur ; Joseph L. Awange, Auteur ; T. Lovas, Auteur ; R. Lewis, Auteur ; B. Molnar, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 408 - 418 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bases de Gröbner
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] Ransac (algorithme)
[Termes IGN] reconstruction d'objet
[Termes IGN] semis de points
[Termes IGN] valeur aberranteRésumé : (auteur) Surface reconstruction from point clouds generated by laser scanning technology has become a fundamental task in many fields of geosciences, such as robotics, computer vision, digital photogrammetry, computational geometry, digital building modelling, forest planning and operational activities. Point clouds produced by laser scanning, however, are limited due to the occurrence of occlusions, multiple reflectance and noise, and off-surface points (outliers), thus necessitating the need for robust fitting techniques. In this contribution, a fast, non-iterative and data invariant algebraic algorithm with constant O(1) complexity that fits planes to point clouds in the total least squares sense using Gaussian-type error distribution is proposed. The maximum likelihood estimator method is used, resulting in a multivariate polynomial system that is solved in an algebraic way. It is shown that for plane fitting when datasets are affected heavily by outliers, the proposed algebraic method can be embedded into the framework of robust methods like the Danish or the RANdom SAmple Consensus methods and computed in parallel to provide rigorous algebraic fitting with significantly reduced running times. Compared to the embedded traditional singular value decomposition and principal component analysis approaches, the performance of the proposed algebraic algorithm demonstrated its efficiency on both synthetic data and real laser-scanned measurements. The evaluation of a symbolic algebraic formula is practically independent of the values of its coefficients; however, the computation of the coefficients depends on the complexity of the data. Since the main advantage of the symbolic solution is its non-requirement of numerical iteration, the data complexity will have weak influence on the speed-up. The novelty of the proposed method is the use of algebraic technique in a robust plane fitting algorithm that could be applied to remote sensing data analysis/delineation/classification. In general, the method could be applied to most plane fitting problems in the geoscience field. Numéro de notice : A2017-755 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/00396265.2016.1183939 En ligne : https://doi.org/10.1080/00396265.2016.1183939 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89109
in Survey review > vol 49 n° 357 (December 2017) . - pp 408 - 418[article]Global, dense multiscale reconstruction for a billion points / Benjamin Ummenhofer in International journal of computer vision, vol 125 n° 1-3 (December 2017)
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Titre : Global, dense multiscale reconstruction for a billion points Type de document : Article/Communication Auteurs : Benjamin Ummenhofer, Auteur ; Thomas Brox, Auteur Année de publication : 2017 Conférence : ICCV 2015, International Conference on Computer Vision 11/12/2015 18/12/2015 Santiago Chili OA Proceedings Article en page(s) : pp 82 - 94 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carte de profondeur
[Termes IGN] discrétisation
[Termes IGN] maillage
[Termes IGN] méthode des éléments finis
[Termes IGN] octree
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'objetRésumé : (Auteur) We present a variational approach for surface reconstruction from a set of oriented points with scale information. We focus particularly on scenarios with nonuniform point densities due to images taken from different distances. In contrast to previous methods, we integrate the scale information in the objective and globally optimize the signed distance function of the surface on a balanced octree grid. We use a finite element discretization on the dual structure of the octree minimizing the number of variables. The tetrahedral mesh is generated efficiently with a lookup table which allows to map octree cells to the nodes of the finite elements. We optimize memory efficiency by data aggregation, such that robust data terms can be used even on very large scenes. The surface normals are explicitly optimized and used for surface extraction to improve the reconstruction at edges and corners. Numéro de notice : A2017-814 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.1007/s11263-017-1017-7 En ligne : https://doi.org/10.1007/s11263-017-1017-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89256
in International journal of computer vision > vol 125 n° 1-3 (December 2017) . - pp 82 - 94[article]Bayesian graph-cut optimization for wall surfaces reconstruction in indoor environments / Georgios-Tsampikos Michailidis in The Visual Computer, vol 33 n° 10 (October 2017)
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Titre : Bayesian graph-cut optimization for wall surfaces reconstruction in indoor environments Type de document : Article/Communication Auteurs : Georgios-Tsampikos Michailidis, Auteur ; Renato Pajarola, Auteur Année de publication : 2017 Article en page(s) : pp 1347 - 1355 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme Graph-Cut
[Termes IGN] carte d'intérieur
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] mur
[Termes IGN] reconstruction d'objet
[Termes IGN] scène intérieure
[Termes IGN] semis de pointsRésumé : (Auteur) In this paper, a new method capable to extract the wall openings (windows and doors) of interior scenes from point clouds under cluttered and occluded environments is presented. For each wall surface extracted by the polyhedral model of a room, our method constructs a cell complex representation, which is used for the wall object segmentation using a graph-cut method. We evaluate the results of the proposed approach on real-world 3D scans of indoor environments and demonstrate its validity. Numéro de notice : A2017-710 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.1007/s00371-016-1230-3 En ligne : https://doi.org/10.1007/s00371-016-1230-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88091
in The Visual Computer > vol 33 n° 10 (October 2017) . - pp 1347 - 1355[article]Documentation of heritage buildings using close-range UAV images: dense matching issues, comparison and case studies / Arnadi Murtiyoso in Photogrammetric record, vol 32 n° 159 (September 2017)
PermalinkUrban building reconstruction from raw LiDAR point data / Cheng Yi in Computer-Aided Design, vol 9x (2017)
PermalinkMulti-view performance capture of surface details / Nadia Robertini in International journal of computer vision, vol 124 n° 1 (August 2017)
Permalink3D building roof reconstruction from airborne LiDAR point clouds : a framework based on a spatial database / Rujun Cao in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)
PermalinkEfficient edge-aware surface mesh reconstruction for urban scenes / András Bódis-Szomorú in Computer Vision and image understanding, vol 157 (April 2017)
PermalinkGeneralizing the prediction sum of squares statistic and formula, application to linear fractional image warp and surface fitting / Adrien Bartoli in International journal of computer vision, vol 122 n° 1 (March 2017)
PermalinkBIM and all that jazz / Stuart Cadge in GEO: Geoconnexion international, vol 16 n° 2 (February 2017)
PermalinkStatistical Relational Learning of Grammar Rules for 3D Building Reconstruction / Youness Dehbi in Transactions in GIS, vol 21 n° 1 (February 2017)
PermalinkHandbook on advances in remote sensing and geographic information systems / Margarita N. Favorskaya (2017)
PermalinkDu nuage de points à la maquette numérique de bâtiment : reconstruction 3D semi-automatique de bâtiments existants / Hélène Macher (2017)
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