Towards large-scale city reconstruction from satellites

Liuyun Duan 1 Florent Lafarge 1
1 TITANE - Geometric Modeling of 3D Environments
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Automatic city modeling from satellite imagery is one of the biggest challenges in urban reconstruction. Existing methods produce at best rough and dense Digital Surface Models. Inspired by recent works on semantic 3D reconstruction and region-based stereovision, we propose a method for producing compact , semantic-aware and geometrically accurate 3D city models from stereo pair of satellite images. Our approach relies on two key ingredients. First, geometry and semantics are retrieved simultaneously bringing robustness to occlusions and to low image quality. Second, we operate at the scale of geometric atomic region which allows the shape of urban objects to be well preserved, and a gain in scalability and efficiency. We demonstrate the potential of our algorithm by reconstructing different cities around the world in a few minutes.
Type de document :
Communication dans un congrès
European Conference on Computer Vision (ECCV), Oct 2016, Amsterdam, Netherlands. 2016
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Contributeur : Florent Lafarge <>
Soumis le : lundi 8 août 2016 - 10:35:07
Dernière modification le : jeudi 11 janvier 2018 - 16:48:00
Document(s) archivé(s) le : mercredi 9 novembre 2016 - 12:04:10


  • HAL Id : hal-01352466, version 1



Liuyun Duan, Florent Lafarge. Towards large-scale city reconstruction from satellites. European Conference on Computer Vision (ECCV), Oct 2016, Amsterdam, Netherlands. 2016. 〈hal-01352466〉



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