Semantizing Complex 3D Scenes using Constrained Attribute Grammars

International audienceWe propose a new approach to automatically semantize complex objects in a 3D scene. For this, we define an expressive formalism combining the power of both attribute grammars and constraint. It offers a practical conceptual interface, which is crucial to write large maintainable specifications. As recursion is inadequate to express large collections of items, we introduce maximal operators, that are essential to reduce the parsing search space. Given a grammar in this formalism and a 3D scene, we show how to automatically compute a shared parse forest of all interpretations -- in practice, only a few, thanks to relevant constraints. We evaluate this technique for building model semantization using CAD model examples as well as photogrammetric and simulated LiDAR data

Repairing geometric errors in 3D urban models with kinetic data structures

International audience3D urban models created either interactively by human operators or automatically with reconstruction algorithms often contain geometric and semantic errors. Correcting them in an automated manner is an important scientific challenge. Prior work, which traditionally relies on local analysis and heuristic-based geometric operations on mesh data structures, is typically tailored-made for specific 3D formats and urban objects. We propose a more general method to process different types of urban models without tedious parameter tuning. The key idea lies on the construction of a kinetic data structure that decomposes the 3D space into polyhedra by extending the facets of the imperfect input model. Such a data structure allows us to rebuild all the relations between the facets in an efficient and robust manner. Once built, the cells of the polyhedral partition are regrouped by semantic classes to reconstruct the corrected output model. We demonstrate the robustness and efficiency of our algorithm on a variety of real-world defect-laden models and show its competitiveness with respect to traditional mesh repairing techniques from both Building Information Modeling (BIM) and Geographic Information Systems (GIS) data

Proceedings. 9th 3DGeoInfo Conference 2014, [11-13 November 2014, Dubai]

It is known that, scientific disciplines such as geology, geophysics, and reservoir exploration intrinsically use 3D geo-information in their models and simulations. However, 3D geo-information is also urgently needed in many traditional 2D planning areas such as civil engineering, city and infrastructure modeling, architecture, environmental planning etc. Altogether, 3DGeoInfo is an emerging technology that will greatly influence the market within the next few decades. The 9th International 3DGeoInfo Conference aims at bringing together international state-of-the-art researchers and practitioners facilitating the dialogue on emerging topics in the field of 3D geo-information. The conference in Dubai offers an interdisciplinary forum of sub- and above-surface 3D geo-information researchers and practitioners dealing with data acquisition, modeling, management, maintenance, visualization, and analysis of 3D geo-information

Application des cartes combinatoires à la modélisation géométrique et sémantique des bâtiments

3D building models are widely used in the civil engineering industry. While the models are needed by several applications, such as architectural representations and simulation processes, they often lack of information that are of major importance for the consistency of the calculations. The original models are then often rebuilt in the way that fits better to the intended applications. To overcome this drawback, we introduce a framework allowing to enrich a 3D model of a building presenting just a geometry, in a way more interoperable model, by adding to it topological and semantic information. A cellular subdivision of the building space is first performed relying on its geometry, then the topological relationships between the cells are explicitely defined. Semantic labels are then attributed to the identified components based on the topology and defined heuristic rules. A 3D combinatorial map data structure (3-map) is used to handle the reconstructed information. From the enriched model we show how to extract applications-driven information allowing to perform acoustic simulation and indoor ray tracing navigation. The approach stands as a bridge between the modeling approaches and the applications in building analysis using the model. It is fully automatic and present interesting results on several types of building modelsLes modèles 3D de bâtiment sont largement utilisés dans l'industrie de la construction et sont nécessités par plusieurs applications telles que la représentation architecturale et les processus de simulation. Malheureusement, ces modèles manquent souvent d'informations d'une importance majeure pour permettre d'effectuer des opérations d'analyse et de calcul. Les modèles originaux sont alors souvent reconstruits par les différents acteurs qui les utilisent afin de les rendre plus adaptés à leur besoins. Dans le but de pallier ce problème, nous introduisons une approche permettant d'enrichir un modèle 3D de bâtiment et le rendre beaucoup plus interopérable. À partir de l'information géométrique seulement, nous rajoutons au modèle des informations topologiques et sémantiques. Une subdivision cellulaire de l'espace occupé par le bâtiment est d'abord effectuée en se basant sur sa géométrie, puis les relations topologiques entre les cellules sont reconstruites et explicitement définies. Des étiquettes sémantiques sont ensuite attribuées aux composants identifiés du bâtiment à l'aide de la topologie reconstruite et des règles heuristiques prédéfinies. Une structure de données topologique appelée carte combinatoire 3D (3-carte) est utilisée comme une base solide pour la mise au point des opération de reconstruction et le traitement des informations reconstruites. À partir du modèle enrichi, nous montrons comment extraire des données pour des applications dédiées, par exemple la simulation acoustique et lancer de rayon pour la navigation intérieure. Notre méthode se présente comme un pont entre les approches de modélisation et les applications d'analyse du bâtiment qui utilisent ces modèles. Il est entièrement automatique et présente des résultats intéressants sur plusieurs types de modèle