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3D digital city models form the basis for flow simulations (e.g. wind flow and water runoff), urban planning, under-and over-ground formation analysis, and they are very important for automated anomaly detection on man made structures. They consist of large collections of semantically rich objects which have many properties such as material and color. Such user's data structure perception is leading...
Contextual information can have a substantial impact on the performance of visual tasks such as semantic segmentation, object detection, and geometric estimation. Data stored in Geographic Information Systems (GIS) offers a rich source of contextual information that has been largely untapped by computer vision. We propose to leverage such information for scene understanding by combining GIS resources...
The conceptual design is a decisive phase where the simulation teams would like to quickly pre-validate spatial architectures from the physical architecture proposed by the system architects. In order to support them to efficiently achieve this task while meeting various industrial requirements, three approaches were proposed and compared, and finally the last and innovative approach called SAMOS...
This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation. Through in-built and custom-made spatial operators of a PostGIS database, we enable the spatial analysis of quantitative metric data, which we then use...
We identify and connect a set of physical properties to 3D models to create a richly-annotated 3D model dataset with data on physical sizes, static support, attachment surfaces, material compositions, and weights. To collect these physical property priors, we leverage observations of 3D models within 3D scenes and information from images and text. By augmenting 3D models with these properties we create...
The construction of a Virtual Environments (VE) requires a long iterative modeling and modification process. Depending on the final purposes, many actors can be involved both in the early conception and in the detailed specification of what has to be included and how it has to be organized. These actors may have different knowledge and expertise. It is therefore important to define tools easy usable...
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