Skip to Main content Skip to Navigation
New interface
Conference papers

Using Robust Methods for Automatic Extraction of Buildings

Christophe Vestri 1 Frédéric Devernay 2 
1 ROBOTVIS - Computer Vision and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
2 CHIR - Surgery, Informatics and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We present a system for modeling buildings from a single correlation-based Digital Elevation Model (DEM). The model is constructed in two stages. The first stage segments the DEM into planar surface patches that describe the building. The second stage generates the final polygonal model of the building using weak geometric constraints. We use robust estimation methods at different stages of our modeling process to develop an efficient and noise-insensitive modeling system. The proposed system is fully automatic and does not use any a priori information about the shape of the buildings. We present results on isolated buildings and on a large area of the city of Berlin.
Document type :
Conference papers
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Frédéric Devernay Connect in order to contact the contributor
Submitted on : Tuesday, March 11, 2008 - 4:06:22 PM
Last modification on : Friday, February 4, 2022 - 3:21:46 AM
Long-term archiving on: : Friday, November 25, 2016 - 9:31:20 PM


Publisher files allowed on an open archive




Christophe Vestri, Frédéric Devernay. Using Robust Methods for Automatic Extraction of Buildings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01), IEEE, 2001, Hawaii, United States. ⟨10.1109/CVPR.2001.990466⟩. ⟨inria-00262399⟩



Record views


Files downloads