Centre de documentation
scientifique

An efficient point cloud management method based on a 3D R-tree / J. Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 4 (April 2012) . - pp 373 - 381 Titre : An efficient point cloud management method based on a 3D R-tree Type de document : Article/Communication Auteurs : J. Gong, Auteur ; Q. Zhu, Auteur ; R. Zhong, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 373 - 381 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbre-R [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] octree [Termes IGN] performance [Termes IGN] semis de points Résumé : (Auteur) Vehicle-borne laser-scanned point clouds have become increasingly important 3D data sources in fields such as digital city modeling and emergency response management. Aiming at reducing the technical bottlenecks of management and visualization of very large point cloud data sets, this paper proposes a new spatial organization method called 3DOR-Tree, which integrates Octree and 3D R-Tree data structures. This method utilizes Octree's rapid convergence to generate R-Tree leaf nodes, which are inserted directly into the R-Tree, thus avoiding time-consuming point-by-point insertion operations. Furthermore, this paper extends the R-Tree structure to support LOD (level of detail) models. Based on the extended structure, a practical data management method is presented. Finally, an adaptive control method for LODS of point clouds is illustrated. Typical experimental results show that our method possesses quasi-real-time index construction speed, a good storage utilization rate, and efficient visualization performance. Numéro de notice : A2012-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.4.373 En ligne : https://doi.org/10.14358/PERS.78.4.373 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31627 [article]

Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations / B. Wu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 68 (March 2012) . - pp 40 - 55 Titre : Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations Type de document : Article/Communication Auteurs : B. Wu, Auteur ; Y. Zhang, Auteur ; Q. Zhu, Auteur Année de publication : 2012 Article en page(s) : pp 40 - 55 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement d'images [Termes IGN] détection de contours [Termes IGN] point d'appui [Termes IGN] reconstruction 3D [Termes IGN] triangulation de Delaunay Résumé : (Auteur) This paper presents an innovative image matching method for reliable and dense image matching on poor textural images, which is the integrated point and edge matching based on the self-adaptive edge-constrained triangulations. Firstly, several seed points and seed edges are obtained on the stereo images, and they are used to construct a pair of initial edge-constrained triangulations on the images. Then, points and edges are matched based on the triangle constraint and other constraints. The newly matched points and edges are inserted into the triangulations and the constrained triangulations are updated dynamically along with the matching propagation. The final results will be the final edge-constrained triangulations generated from the successfully matched points and edges. Experiments using typical space-borne, airborne, and terrestrial images with poor textures revealed that the integrated point and edge matching method based on self-adaptive triangulations is able to produce dense and reliable matching results. Moreover, from the final matched points and edges, 3D points and edges preserving the physical boundaries of objects can be further derived based on photogrammetric techniques, which is ideal for further object modeling applications. Numéro de notice : A2012-146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.12.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.12.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31593 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2012021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Mathematical morphology-based generalization of complex 3D building models incorporating semantic relationships / J. Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 68 (March 2012) . - pp 95 - 111 Titre : Mathematical morphology-based generalization of complex 3D building models incorporating semantic relationships Type de document : Article/Communication Auteurs : J. Zhao, Auteur ; Q. Zhu, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 95 - 111 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Chine [Termes IGN] généralisation automatique de données [Termes IGN] information sémantique [Termes IGN] modèle numérique du bâti [Termes IGN] modélisation 3D [Termes IGN] morphologie mathématique [Termes IGN] reconstruction 3D du bâti [Termes IGN] réseau sémantique [Vedettes matières IGN] Généralisation Résumé : (Auteur) A complex 3D building model contains a detailed description of both its appearance and internal structure with authentic architectural components. Because of its high complexity and huge data volumes, using a less detailed representation for the distant visual application of such a model is preferable. However, most mesh simplification algorithms cannot preserve manmade features of such models, and the existing 3D generalization algorithms are mainly proposed for regular-shaped buildings. More importantly, neither method can consistently express geometry, topological relations, and semantics in multiple discrete Levels of Details (LoDs). This paper presents a novel mathematical morphology-based algorithm that generalizes the complex 3D building model in a unified manner using the following steps: (1) semantic relationships between components, which reflect structural connectivity in the building at a certain LoD, are defined and extracted; (2) semantically connected components are merged and trivial geometric features of the components are eliminated simultaneously, with semantics associated with components then updated according to the merging; and (3) post-process is carried out to further reduce the redundancy of facets. The semantic relationships extracted ensure the proper generalization of topological relations and semantics of building components, and mathematical morphological operations implemented in the algorithm are capable of handling closed two-manifold components of various shapes. Experiments on both complex 3D building models in the classical Chinese style and prismatic 3D city models prove the effectiveness of the proposed method. Numéro de notice : A2012-148 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.01.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.01.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31595 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2012021	SL	Revue	Centre de documentation	Revues en salle	Disponible

Multi close-range image matching based on a self-adaptive triangle constraint / Q. Zhu in Photogrammetric record, vol 25 n° 132 (December 2010 - February 2011)  

Public [article]  inPhotogrammetric record > vol 25 n° 132 (December 2010 - February 2011) . - pp 437 - 453 Titre : Multi close-range image matching based on a self-adaptive triangle constraint Type de document : Article/Communication Auteurs : Q. Zhu, Auteur ; Y. Zhang, Auteur ; B. Wu, Auteur Année de publication : 2010 Article en page(s) : pp 437 - 453 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement d'images [Termes IGN] cohérence géométrique [Termes IGN] espace objet [Termes IGN] image multiple [Termes IGN] programmation par contraintes [Termes IGN] reconstruction d'objet [Termes IGN] texture d'image [Termes IGN] triangle Résumé : (Auteur) L'appariement fiable d'images est une tâche essentielle et délicate dans le domaine de la photogrammétrie numérique et de la vision par ordinateur. Des problèmes de distorsions géométriques, de changements d'illumination, de changement d'échelle et de configurations texturales complexes peuvent entraîner des ambiguïtés d'appariement, notamment pour l'appariement d'images rapprochées. Cet article présente une méthode d'appariement d'images rapprochées multiples pour la reconstruction de surfaces basée sur une contrainte auto-adaptative sur des triangles. Cette méthode a deux particularités. Tout d'abord, les triangles construits à partir de points précédemment appariés définissent de fortes contraintes pour les appariements ultérieurs, qui sont combinées aux contraintes d'orientation et de disparité des gradients. La mise à jour dynamique de l'appariement s'adapte automatiquement aux changements de textures. Par ailleurs, un contrôle de consistance est effectué dans l'espace objet pour éliminer d'éventuelles erreurs d'appariement. Les résultats expérimentaux obtenus sur trois jeux de triplets stéréoscopiques d'images rapprochées montrent que la méthode proposée améliore la fiabilité de l'appariement pour des images rapprochées. Numéro de notice : A2010-535 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2010.00603.x Date de publication en ligne : 22/12/2010 En ligne : https://doi.org/10.1111/j.1477-9730.2010.00603.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30727 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Knowledge-based building reconstruction from terrestrial video sequences / Yuan Tian in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 4 (July - August 2010) . - pp 395 - 408 Titre : Knowledge-based building reconstruction from terrestrial video sequences Type de document : Article/Communication Auteurs : Yuan Tian, Auteur ; Markus Gerke, Auteur ; M. George Vosselman, Auteur ; Q. Zhu, Auteur Année de publication : 2010 Article en page(s) : pp 395 - 408 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] base de connaissances [Termes IGN] image vidéo [Termes IGN] prise de vue terrestre [Termes IGN] reconstruction 3D du bâti [Termes IGN] séquence d'images Résumé : (Auteur) The paper presents an automatic method for the reconstruction of building models from video image sequences. These videos may be recorded using a hand-held camera or a camera mounted on a moving car. Such terrestrial video sequences are economic and flexible. Presenting buildings as geometric models–rather than for instance a representation from a simple meshing of 3D points–enables one to perform a wide range of analyses. However, sparse 3D points and 3D edges do not contain topological relations. Therefore, integrating building structure knowledge into the reconstruction steps plays an important role in our method. First, some rules are applied to reasonably group the extracted features. Then, a suitable outline and normal direction are specified for each surface patch. Based on these surface patches, a hybrid model- and data-driven method is used to recover a building model from both the extracted surface patches and hypothesized parts. Using the building structure knowledge leads to a simple and fast reconstruction method, and also enables one to obtain the main structures of buildings. The results show that this method correctly sets up topological relationships between generated surface patches and also obtains reasonable structure models in occluded areas. Therefore, the reconstructed models satisfy requirements for both visualization and analysis. Numéro de notice : A2010-299 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.05.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.05.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30493 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2010041	SL	Revue	Centre de documentation	Revues en salle	Disponible

An improved segmentation approach for planar surfaces from undestructured 3D point clouds / T.M. Awwad in Photogrammetric record, vol 25 n° 129 (March - May 2010)  

Permalink

Semantics-based 3D dynamic hierarchical house property model / Q. Zhu in International journal of geographical information science IJGIS, vol 24 n°1-2 (january 2010)  

Permalink

Hierarchical lane-oriented 3D road-network model / Q. Zhu in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)  

Permalink

A sub-pixel location method for interest points by means of the Harris interest strength / Q. Zhu in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)  

Permalink

A filtering strategy for interest point detecting to improve repeatability and information content / Q. Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 5 (May 2007)  

Permalink

Cybercity GIS (CCGIS): integration of DEMs, images, and 3D models / Q. Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 4 (April 2002)  

Permalink