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Structural Approach for Building Reconstruction from a Single DSM
January 2010 (vol. 32 no. 1)
pp. 135-147
ASCII Text
x 
 
Florent Lafarge, Xavier Descombes, Josiane Zerubia, Marc Pierrot-Deseilligny, "Structural Approach for Building Reconstruction from a Single DSM," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 1, pp. 135-147, January, 2010.
 
 
BibTex
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@article{ 10.1109/TPAMI.2008.281,
author = {Florent Lafarge and Xavier Descombes and Josiane Zerubia and Marc Pierrot-Deseilligny},
title = {Structural Approach for Building Reconstruction from a Single DSM},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {32},
number = {1},
issn = {0162-8828},
year = {2010},
pages = {135-147},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.281},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Structural Approach for Building Reconstruction from a Single DSM
IS - 1
SN - 0162-8828
SP135
EP147
EPD - 135-147
A1 - Florent Lafarge,
A1 - Xavier Descombes,
A1 - Josiane Zerubia,
A1 - Marc Pierrot-Deseilligny,
PY - 2010
KW - 3D reconstruction
KW - urban area
KW - digital surface model
KW - stochastic models
KW - Monte Carlo simulations.
VL - 32
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
Florent Lafarge, Ariana Research Group, INRIA and Matis Laboratory, French Mapping Agency, Sophia Antipolis
Xavier Descombes, Ariana Research Group, INRIA, Sophia Antipolis
Josiane Zerubia, Ariana Research Group, INRIA, Sophia Antipolis
Marc Pierrot-Deseilligny, French Mapping Agency (IGN), Saint-Mandé
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.

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Index Terms:
3D reconstruction, urban area, digital surface model, stochastic models, Monte Carlo simulations.
Citation:
Florent Lafarge, Xavier Descombes, Josiane Zerubia, Marc Pierrot-Deseilligny, "Structural Approach for Building Reconstruction from a Single DSM," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 1, pp. 135-147, Jan. 2010, doi:10.1109/TPAMI.2008.281
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