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Publications of Florent Lafarge
Result of the query in the list of publications :
18 Conference articles |
12 - 3D city modeling based on Hidden Markov Model. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In Proc. IEEE International Conference on Image Processing (ICIP), San Antonio, U.S., September 2007. Note : Copyright IEEE Keywords : 3D reconstruction, Building, Hidden Markov Model.
@INPROCEEDINGS{lafarge_icip07,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{3D city modeling based on Hidden Markov Model}, |
year |
= |
{2007}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{San Antonio, U.S.}, |
note |
= |
{Copyright IEEE}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4379207}, |
keyword |
= |
{3D reconstruction, Building, Hidden Markov Model} |
} |
|
13 - Rectangular Road Marking Detection with Marked Point Processes. O. Tournaire and N. Paparoditis and F. Lafarge. In ISPRS Conference Photogrammetric Image Analysis (PIA), Vol. 36, pages 149--154, Org. IAPRS, Munich, Germany, September 2007.
@INPROCEEDINGS{tournaire_pia07,
|
author |
= |
{Tournaire, O. and Paparoditis, N. and Lafarge, F.}, |
title |
= |
{Rectangular Road Marking Detection with Marked Point Processes}, |
year |
= |
{2007}, |
month |
= |
{September}, |
booktitle |
= |
{ISPRS Conference Photogrammetric Image Analysis (PIA)}, |
volume |
= |
{36}, |
pages |
= |
{149--154}, |
organization |
= |
{IAPRS}, |
address |
= |
{Munich, Germany}, |
pdf |
= |
{http://www-sop.inria.fr/ariana/Publis/2007-tournaire-pia.pdf}, |
keyword |
= |
{} |
} |
|
14 - An Automatic Building Reconstruction Method : A Structural Approach Using High Resolution Images. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In Proc. IEEE International Conference on Image Processing (ICIP), Atlanta, October 2006. Keywords : 3D reconstruction, Buildings, RJMCMC, Structural approach, Satellite images. Copyright : IEEE
@INPROCEEDINGS{lafarge_icip06,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{An Automatic Building Reconstruction Method : A Structural Approach Using High Resolution Images}, |
year |
= |
{2006}, |
month |
= |
{October}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Atlanta}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2006_lafarge_icip06.pdf}, |
keyword |
= |
{3D reconstruction, Buildings, RJMCMC, Structural approach, Satellite images} |
} |
|
15 - Automatic 3D Building Reconstruction from DEMs: an Application to PLEIADES Simulations. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In Proc. International Society for Photogrammetry and Remote Sensing Commission I Symposium (ISPRS), Marne La Vallee, France, July 2006. Keywords : 3D reconstruction, Digital Elevation Model, Building extraction, Dense urban areas, PLEIADES simulations.
@INPROCEEDINGS{lafarge_isprs06,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{Automatic 3D Building Reconstruction from DEMs: an Application to PLEIADES Simulations}, |
year |
= |
{2006}, |
month |
= |
{July}, |
booktitle |
= |
{Proc. International Society for Photogrammetry and Remote Sensing Commission I Symposium (ISPRS)}, |
address |
= |
{Marne La Vallee, France}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2006_lafarge_isprs06.pdf}, |
keyword |
= |
{3D reconstruction, Digital Elevation Model, Building extraction, Dense urban areas, PLEIADES simulations} |
} |
|
16 - An Automatic 3D City Model : a Bayesian Approach using Satellite Images. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006. Note : Copyright IEEE Keywords : 3D reconstruction, Buildings, MCMC, Digital Elevation Model (DEM).
@INPROCEEDINGS{florenticassp06,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{An Automatic 3D City Model : a Bayesian Approach using Satellite Images}, |
year |
= |
{2006}, |
month |
= |
{May}, |
booktitle |
= |
{Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
address |
= |
{Toulouse, France}, |
note |
= |
{Copyright IEEE}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2006_florenticassp06.pdf}, |
keyword |
= |
{3D reconstruction, Buildings, MCMC, Digital Elevation Model (DEM)} |
} |
|
17 - Détection de feux de forêt à partir d'images satellitaires IRT par analyse statistique d'évènements rares. F. Lafarge and X. Descombes and J. Zerubia and S. Mathieu-Marni. In Proc. GRETSI Symposium on Signal and Image Processing, Louvain-la-Neuve, Belgique, September 2005. Keywords : Rare event, Forest fires, Gaussian Field.
@INPROCEEDINGS{lafarge_gretsi05,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Mathieu-Marni, S.}, |
title |
= |
{Détection de feux de forêt à partir d'images satellitaires IRT par analyse statistique d'évènements rares}, |
year |
= |
{2005}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
address |
= |
{Louvain-la-Neuve, Belgique}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2005_lafarge_gretsi05.pdf}, |
keyword |
= |
{Rare event, Forest fires, Gaussian Field} |
} |
|
18 - Textural Kernel for SVM Classification in Remote Sensing : Application to Forest Fire Detection and Urban Area Extraction. F. Lafarge and X. Descombes and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Genoa, Italy, September 2005. Keywords : Support Vector Machines, Learning base, Markov Fields, Forest fires, Urban areas. Copyright : IEEE
@INPROCEEDINGS{lafarge_icip05,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Textural Kernel for SVM Classification in Remote Sensing : Application to Forest Fire Detection and Urban Area Extraction}, |
year |
= |
{2005}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Genoa, Italy}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2005_lafarge_icip05.pdf}, |
keyword |
= |
{Support Vector Machines, Learning base, Markov Fields, Forest fires, Urban areas} |
} |
|
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5 Technical and Research Reports |
1 - A structural approach for 3D building reconstruction. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. Research Report 6048, INRIA, November 2006. Keywords : 3D reconstruction, Structural approach, Building, RJMCMC, Viterbi.
@TECHREPORT{Lafarge_rr_6048,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{A structural approach for 3D building reconstruction}, |
year |
= |
{2006}, |
month |
= |
{November}, |
institution |
= |
{INRIA}, |
type |
= |
{Research Report}, |
number |
= |
{6048}, |
url |
= |
{https://hal.inria.fr/inria-00114338}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2006_Lafarge_rr_6048.pdf}, |
keyword |
= |
{3D reconstruction, Structural approach, Building, RJMCMC, Viterbi} |
} |
|
2 - An automatic building extraction method : Application to the 3D-city modeling. F. Lafarge and P. Trontin and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. Research Report 5925, INRIA, France, May 2006. Keywords : Object extraction, Marked point process, 3D reconstruction, Urban areas, Satellite images, Digital Elevation Model (DEM).
@TECHREPORT{lafarge_rr_may06,
|
author |
= |
{Lafarge, F. and Trontin, P. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{An automatic building extraction method : Application to the 3D-city modeling}, |
year |
= |
{2006}, |
month |
= |
{May}, |
institution |
= |
{INRIA}, |
type |
= |
{Research Report}, |
number |
= |
{5925}, |
address |
= |
{France}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2006_lafarge_rr_may06.pdf}, |
keyword |
= |
{Object extraction, Marked point process, 3D reconstruction, Urban areas, Satellite images, Digital Elevation Model (DEM)} |
} |
|
3 - A Parametric Model for Automatic 3D Building Reconstruction from High Resolution Satellite Images. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. Research Report 5687, INRIA, France, September 2005. Keywords : 3D reconstruction, Buildings, RJMCMC, Digital Elevation Model (DEM).
@TECHREPORT{5687,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{A Parametric Model for Automatic 3D Building Reconstruction from High Resolution Satellite Images}, |
year |
= |
{2005}, |
month |
= |
{September}, |
institution |
= |
{INRIA}, |
type |
= |
{Research Report}, |
number |
= |
{5687}, |
address |
= |
{France}, |
url |
= |
{http://hal.inria.fr/inria-00070326/fr/}, |
pdf |
= |
{https://hal.inria.fr/file/index/docid/70326/filename/RR-5687.pdf}, |
ps |
= |
{http://hal.inria.fr/docs/00/07/03/26/PS/RR-5687.ps}, |
keyword |
= |
{3D reconstruction, Buildings, RJMCMC, Digital Elevation Model (DEM)} |
} |
Résumé :
Dans ce rapport, nous développons un modèle paramétrique pour la reconstruction automatique de bâtiments en 3D fondé sur une approche bayésienne à partir de simulations PLEIADES. Les images satellitaires haute résolution représentent un nouveau type de données permettant de traiter les problèmes de reconstruction 3D de bâtiments. Leur résolution ``relativement basse'' et leur faible rapport signal sur bruit pour ce type de problèmes ne permet pas l'utilisation des méthodes standard développées dans le cas des images aériennes. Nous proposons une approche paramétrique utilisant des Modèles Numériques d'Elévation (MNE) et les empreintes de bâtiments associées modélisées par rectangles. La méthode proposée est fondée sur une approche bayésienne. Une technique de type de Monte Carlo par Chaînes de Markov est utilisée afin d'optimiser le modèle énergétique. |
Abstract :
This report develops a parametric model for automatic 3D building reconstruction based on a Bayesian approach from PLEIADES simulations. High resolution satellite images are a new kind of data to deal with 3D building reconstruction problems. Their ``relatively low'' resolution and low signal noise ration do not allow to use standard methods developed for the aerial image case. We propose a parametric approach using Digital Elevation Models (DEM) and associated rectangular building footprints. The proposed method is based on a Bayesian approach. A Markov Chain Monte Carlo technique is used to optimize the energy model. |
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