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Registration of terrestrial mobile laser data on 2D or 3D geographic database by use of a non-rigid ICP approach / Fabrice Monnier in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-5 W2 (November 2013) . - pp 193 - 198 Titre : Registration of terrestrial mobile laser data on 2D or 3D geographic database by use of a non-rigid ICP approach Type de document : Article/Communication Auteurs : Fabrice Monnier , Auteur ; Bruno Vallet , Auteur ; Nicolas Paparoditis , Auteur ; Jean-Pierre Papelard , Auteur ; Nicolas David , Auteur Année de publication : 2013 Conférence : ISPRS 2013, Workshop Laser Scanning 11/11/2013 13/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 193 - 198 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] algorithme ICP [Termes IGN] base de données localisées [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] Paris (75) [Termes IGN] plan de ville [Termes IGN] primitive géométrique Résumé : (auteur) This article presents a generic and efficient method to register terrestrial mobile data with imperfect location on a geographic database with better overall accuracy but less details. The registration method proposed in this paper is based on a semi-rigid point to plane ICP ("Iterative Closest Point"). The main applications of such registration is to improve existing geographic databases, particularly in terms of accuracy, level of detail and diversity of represented objects. Other applications include fine geometric modelling and fine façade texturing, object extraction such as trees, poles, road signs marks, facilities, vehicles,etc. The geopositionning system of mobile mapping systems is affected by GPS masks that are only partially corrected by an Inertial Navigation System (INS) which can cause an important drift. As this drift varies non-linearly, but slowly in time, it will be modelled by a translation defined as a piecewise linear function of time which variation over time will be minimized (rigidity term). For each iteration of the ICP, the drift is estimated in order to minimise the distance between laser points and planar model primitives (data attachment term). The method has been tested on real data (a scan of the city of Paris of 3.6 million laser points registered on a 3D model of approximately 71,400 triangles). Numéro de notice : A2013-801 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-5-W2-193-2013 Date de publication en ligne : 16/10/2013 En ligne : http://dx.doi.org/10.5194/isprsannals-II-5-W2-193-2013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80593 [article]

Documents numériques

en open access Registration of terrestrial mobile laser data Adobe Acrobat PDF

Facade reconstruction with generalized 2.5D grids / Jérôme Demantké in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-5 W2 (November 2013) . - pp 67 - 72 Titre : Facade reconstruction with generalized 2.5D grids Type de document : Article/Communication Auteurs : Jérôme Demantké , Auteur ; Bruno Vallet , Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2013 Conférence : ISPRS 2013, Workshop Laser Scanning 11/11/2013 13/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 67 - 72 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données localisées 2,5D [Termes IGN] façade [Termes IGN] reconstruction 2D du bâti [Termes IGN] semis de points Résumé : (auteur) Reconstructing fine facade geometry from MMS lidar data remains a challenge: In addition to being inherently sparse, the point cloud provided by a single street point of view is necessarily incomplete. We propose a simple framework to estimate the facade surface with a deformable 2.5d grid. Computations are performed in a ”sensor-oriented” coordinate system that maximizes consistency with the data. The algorithm allows to retrieve the facade geometry without priori knowledge. It can thus be automatically applied to a large amount of data in spite of the variability of encountered architectural forms. The 2.5d image structure of the output makes it compatible with storage and real-time constraints of immersive navigation. Numéro de notice : A2013-800 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-5-W2-67-2013 Date de publication en ligne : 10/10/2013 En ligne : http://dx.doi.org/10.5194/isprsannals-II-5-W2-67-2013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80594 [article]

Documents numériques

en open access Facade reconstruction Adobe Acrobat PDF

Feature relevance assessment for the semantic interpretation of 3D point cloud data / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-5 W2 (November 2013) . - pp 313 - 318 Titre : Feature relevance assessment for the semantic interpretation of 3D point cloud data Type de document : Article/Communication Auteurs : Martin Weinmann, Auteur ; Boris Jutzi, Auteur ; Clément Mallet , Auteur Année de publication : 2013 Conférence : ISPRS 2013, Workshop Laser Scanning 11/11/2013 13/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 313 - 318 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] semis de points Résumé : (auteur) The automatic analysis of large 3D point clouds represents a crucial task in photogrammetry, remote sensing and computer vision. In this paper, we propose a new methodology for the semantic interpretation of such point clouds which involves feature relevance assessment in order to reduce both processing time and memory consumption. Given a standard benchmark dataset with 1.3 million 3D points, we first extract a set of 21 geometric 3D and 2D features. Subsequently, we apply a classifier-independent ranking procedure which involves a general relevance metric in order to derive compact and robust subsets of versatile features which are generally applicable for a large variety of subsequent tasks. This metric is based on 7 different feature selection strategies and thus addresses different intrinsic properties of the given data. For the example of semantically interpreting 3D point cloud data, we demonstrate the great potential of smaller subsets consisting of only the most relevant features with 4 different state-of-the-art classifiers. The results reveal that, instead of including as many features as possible in order to compensate for lack of knowledge, a crucial task such as scene interpretation can be carried out with only few versatile features and even improved accuracy. Numéro de notice : A2013-812 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-5-W2-313-2013 En ligne : http://dx.doi.org/10.5194/isprsannals-II-5-W2-313-2013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80665 [article]

Documents numériques

en open access Feature relevance assessment Adobe Acrobat PDF

Change Detection in 3D Point Clouds Acquired by a Mobile Mapping System / Wen Xiao in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-5 W2 (November 2013) . - pp 331 - 336 Titre : Change Detection in 3D Point Clouds Acquired by a Mobile Mapping System Type de document : Article/Communication Auteurs : Wen Xiao, Auteur ; Bruno Vallet , Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2013 Conférence : ISPRS 2013, Workshop Laser Scanning 11/11/2013 13/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 331 - 336 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection de changement [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] objet géographique complexe [Termes IGN] scène urbaine [Termes IGN] semis de points [Termes IGN] système de numérisation mobile [Termes IGN] théorie de Dempster-Shafer [Termes IGN] zone urbaine dense Résumé : (auteur) Thanks to the development of Mobile mapping systems (MMS), street object recognition, classification, modelling and related studies have become hot topics recently. There has been increasing interest in detecting changes between mobile laser scanning (MLS) point clouds in complex urban areas. A method based on the consistency between the occupancies of space computed from different datasets is proposed. First occupancy of scan rays (empty, occupied, unknown) are defined while considering the accuracy of measurement and registration. Then the occupancy of scan rays are fused using the Weighted Dempster–Shafer theory (WDST). Finally, the consistency between different datasets is obtained by comparing the occupancy at points from one dataset with the fused occupancy of neighbouring rays from the other dataset. Change detection results are compared with a conventional point to triangle (PTT) distance method. Changes at point level are detected fully automatically. The proposed approach allows to detect changes at large scales in urban scenes with fine detail and more importantly, distinguish real changes from occlusions. Numéro de notice : A2013-822 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-5-W2-331-2013 En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/331/2013 [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80873 [article]

Documents numériques

en open access Change Detection in 3D Point Clouds ... - pdf éditeur Adobe Acrobat PDF