| Paper: | MP-P8.2 |
| Session: | Stereoscopic and 3D Processing II: 3D Modeling & Synthesis |
| Time: | Monday, September 17, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
3D CITY MODELING BASED ON HIDDEN MARKOV MODEL |
| Authors: |
Florent Lafarge; INRIA | | |
| | Xavier Descombes; INRIA | | |
| | Josiane Zerubia; INRIA | | |
| | Marc Pierrot-Deseilligny; IGN | | |
| Abstract: |
In this paper, we present an automatic method for the 3D building reconstruction from satellite images. The proposed approach consists in reconstructing buildings by assembling simple urban structures extracted from a grammar of 3D parametric models, as a "LEGO" game. First, the building footprints are extracted through sequences of quadrilaterals: it allows to define the problem as a causal process. Then, the 3D reconstruction stage is realized through a Hidden Markov Model and the optimal sequences of 3D parametric objects are found using the Viterbi algorithm. |
