Name
Abstract | ||
|---|---|---|
We present a new approach for building reconstruction from a single Digital Elevation Model (DEM). It treats buildings as an assemblage of simple urban structures ex- tracted from a library of 3D parametric blocks (like a LEGO R � set). This method works on various data resolu- tions such as 0.7 m satellite and 0.1 m aerial DEMs and allows us to obtain 3D representations with various levels of detail. 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. A Bayesian decision finds the optimal configuration of 3D blocks using a RJMCMC sampler. Experimental results on complex buildings and dense urban areas are presented us- ing data at various resolutions1. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CVPR.2008.4587778 | Anchorage, AK |
Keywords | Field | DocType |
Bayes methods,building,optimisation,solid modelling,3D parametric blocks,Bayesian decision,Gibbs model,building reconstruction,digital elevation model,optimal configuration,urban structures | Iterative reconstruction,Kernel (linear algebra),Computer vision,Satellite,Computer science,Constructive solid geometry,Digital elevation model,Parametric statistics,Artificial intelligence,Energy minimization,Bayesian probability | Conference |
Volume | Issue | ISSN |
2008 | 1 | 1063-6919 E-ISBN : 978-1-4244-2243-2 |
ISBN | Citations | PageRank |
978-1-4244-2243-2 | 28 | 1.82 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florent Lafarge | 1 | 387 | 25.70 |
| Xavier Descombes | 2 | 693 | 79.43 |
| Josiane Zerubia | 3 | 2032 | 232.91 |
| Marc Pierrot-Deseilligny | 4 | 88 | 6.71 |