Plumejeaud-Perreau C.,French mapping agency IGN |
Plumejeaud-Perreau C.,R.A.U.M. |
Grosso E.,French mapping agency IGN |
Grosso E.,University of Edinburgh |
Parent B.,French mapping agency IGN
Journal of Spatial Information Science | Year: 2014
This paper describes an innovative solution for geovisualization of the demographic and administrative history of French municipalities, named "communes" in French. This solution allows for the open dissemination of such data. The challenge is to provide a web interface for unskilled users in order to help them understand complex information about the demographic evolution of French territories. Our approach combines interactive thematic, spatial, and temporal views. We describe our architecture, based on open-source technologies, and the organization of this imperfect geo-historical information in our spatiotemporal database. Our second contribution concerns the concept of an acquaintance graph that has been used to obtain an efficient design with good performance in our geovisualization website.© by the author(s).
Lafarge F.,University Paris Est Creteil |
Keriven R.,University Paris Est Creteil |
Bredif M.,French Mapping Agency IGN
IEEE Transactions on Image Processing | Year: 2010
We propose an original hybrid modeling process of urban scenes that represents 3-D models as a combination of mesh-based surfaces and geometric 3-D-primitives. Meshes describe details such as ornaments and statues, whereas 3-D-primitives code for regular shapes such as walls and columns. Starting from an 3-D-surface obtained by multiview stereo techniques, these primitives are inserted into the surface after being detected. This strategy allows the introduction of semantic knowledge, the simplification of the modeling, and even correction of errors generated by the acquisition process. We design a hierarchical approach exploring different scales of an observed scene. Each level consists first in segmenting the surface using a multilabel energy model optimized by α-expansion and then in fitting 3-D-primitives such as planes, cylinders or tori on the obtained partition where relevant. Experiments on real meshes, depth maps and synthetic surfaces show good potential for the proposed approach. © 2006 IEEE.
Lafarge F.,French Institute for Research in Computer Science and Automation |
Descombes X.,French Institute for Research in Computer Science and Automation |
Zerubia J.,French Institute for Research in Computer Science and Automation |
Pierrot-Deseilligny M.,French Mapping Agency IGN
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2010
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a library of 3D parametric blocks (like a LEGO set). First, the 2D-supports of the urban structures are extracted either interactively or automatically. Then, 3D-blocks are placed on the 2D-supports using a Gibbs model which controls both the block assemblage and the fitting to data. A Bayesian decision finds the optimal configuration of 3D-blocks using a Markov Chain Monte Carlo sampler associated with original proposition kernels. This method has been validated on multiple data set in a wide-resolution interval such as 0.7 m satellite and 0.1 m aerial DSMs, and provides 3D representations on complex buildings and dense urban areas with various levels of detail. © 2010 IEEE.