|
Publications of Florent Lafarge
Result of the query in the list of publications :
18 Conference articles |
2 - Generating compact meshes under planar constraints: an automatic approach for modeling buildings lidar. Y. Verdié and F. Lafarge and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, September 2011. Keywords : 3D-Modeling, shape analysis, Mesh processing.
@INPROCEEDINGS{VerdieICIP11,
|
author |
= |
{Verdié, Y. and Lafarge, F. and Zerubia, J.}, |
title |
= |
{Generating compact meshes under planar constraints: an automatic approach for modeling buildings lidar}, |
year |
= |
{2011}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Brussels, Belgium}, |
url |
= |
{http://hal.inria.fr/inria-00605623/fr/}, |
keyword |
= |
{3D-Modeling, shape analysis, Mesh processing} |
} |
Abstract :
We present an automatic approach for modeling buildings from aerial LiDAR data. The method produces accurate, watertight and compact meshes under planar constraints which are especially designed for urban scenes. The LiDAR point cloud is classified through a non-convex energy minimization problem in order to separate the points labeled as building. Roof structures are then extracted from this point subset, and used to control the meshing procedure. Experiments highlight the potential of our method in term of minimal rendering, accuracy and compactness |
|
3 - Hybrid Multi-view Reconstruction by Jump-Diffusion. F. Lafarge and R. Keriven and M. Brédif and H. Vu. In Proc. IEEE Computer Vision and Pattern Recognition (CVPR), San Franscico, U.S., June 2010.
@INPROCEEDINGS{lafarge_cvpr10,
|
author |
= |
{Lafarge, F. and Keriven, R. and Brédif, M. and Vu, H.}, |
title |
= |
{Hybrid Multi-view Reconstruction by Jump-Diffusion}, |
year |
= |
{2010}, |
month |
= |
{June}, |
booktitle |
= |
{Proc. IEEE Computer Vision and Pattern Recognition (CVPR)}, |
address |
= |
{San Franscico, U.S.}, |
pdf |
= |
{http://certis.enpc.fr/publications/papers/CVPR10a.pdf}, |
keyword |
= |
{} |
} |
|
4 - Combining meshes and geometric primitives for accurate and semantic modeling. F. Lafarge and R. Keriven and M. Brédif. In Proc. British Machine Vision Conference (BMVC), London, U.K., November 2009.
@INPROCEEDINGS{lafarge_bmvc09,
|
author |
= |
{Lafarge, F. and Keriven, R. and Brédif, M.}, |
title |
= |
{Combining meshes and geometric primitives for accurate and semantic modeling}, |
year |
= |
{2009}, |
month |
= |
{November}, |
booktitle |
= |
{Proc. British Machine Vision Conference (BMVC)}, |
address |
= |
{London, U.K.}, |
url |
= |
{http://recherche.ign.fr/labos/matis/pdf/articles_conf/2009/bmvc_final_09.pdf}, |
keyword |
= |
{} |
} |
|
5 - Lidar Waveform Modeling using a Marked Point Process. C. Mallet and F. Lafarge and F. Bretar and U. Soergel and C. Heipke. In Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009. Keywords : 3D point cloud, Lidar, Marked point process, RJMCMC.
@INPROCEEDINGS{mallet_icip09,
|
author |
= |
{Mallet, C. and Lafarge, F. and Bretar, F. and Soergel, U. and Heipke, C.}, |
title |
= |
{Lidar Waveform Modeling using a Marked Point Process}, |
year |
= |
{2009}, |
month |
= |
{November}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Cairo, Egypt}, |
url |
= |
{http://dx.doi.org/10.1109/ICIP.2009.5413380}, |
keyword |
= |
{3D point cloud, Lidar, Marked point process, RJMCMC} |
} |
Abstract :
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. This paper presents a marked point process based model to reconstruct a lidar signal in terms of a set of parametric functions. The model takes into account both a data term which measures the coherence between the models and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal. We search for the best configuration of functions by performing a Reversible Jump Markov Chain Monte Carlo sampler coupled with a simulated annealing. Results are finally presented on different kinds of signals in urban areas. |
|
6 - Texture representation by geometric objects using a jump-diffusion process. F. Lafarge and G. Gimel'farb. In Proc. British Machine Vision Conference (BMVC), Leeds, U.K., November 2008.
@INPROCEEDINGS{lafarge_bmvc08,
|
author |
= |
{Lafarge, F. and Gimel'farb, G.}, |
title |
= |
{Texture representation by geometric objects using a jump-diffusion process}, |
year |
= |
{2008}, |
month |
= |
{November}, |
booktitle |
= |
{Proc. British Machine Vision Conference (BMVC)}, |
address |
= |
{Leeds, U.K.}, |
url |
= |
{http://www.comp.leeds.ac.uk/bmvc2008/proceedings/papers/86.pdf}, |
keyword |
= |
{} |
} |
|
7 - A Geometric Primitive Extraction Process for Remote Sensing Problems.. F. Lafarge and G. Gimel'farb and X. Descombes. In Proc. Advanced Concepts for Intelligent Vision Systems, pages 518-529, Juan-les-Pins, France, October 2008. Copyright :
@INPROCEEDINGS{LGF2008,
|
author |
= |
{Lafarge, F. and Gimel'farb, G. and Descombes, X.}, |
title |
= |
{A Geometric Primitive Extraction Process for Remote Sensing Problems.}, |
year |
= |
{2008}, |
month |
= |
{October}, |
booktitle |
= |
{ACIVS}, |
pages |
= |
{518-529}, |
address |
= |
{Juan-les-Pins, France}, |
pdf |
= |
{http://www.springerlink.com/content/b228321527177226/}, |
keyword |
= |
{} |
} |
|
8 - A new computationally efficient stochastic approach for building reconstruction from satellite data. F. Lafarge and M. Durupt and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In XXI ISPRS Congress, Part A, Beijing, China, July 2008. Note : Copyright ISPRS Keywords : 3D reconstruction, Building, satellite data, stochastic approach, jump process.
@INPROCEEDINGS{lafarge_isprs08,
|
author |
= |
{Lafarge, F. and Durupt, M. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{A new computationally efficient stochastic approach for building reconstruction from satellite data}, |
year |
= |
{2008}, |
month |
= |
{July}, |
booktitle |
= |
{XXI ISPRS Congress, Part A}, |
address |
= |
{Beijing, China}, |
note |
= |
{Copyright ISPRS}, |
url |
= |
{http://www.isprs.org/proceedings/XXXVII/congress/3_pdf/40.pdf}, |
keyword |
= |
{3D reconstruction, Building, satellite data, stochastic approach, jump process} |
} |
|
9 - Building reconstruction from a single DEM. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, U.S., June 2008.
@INPROCEEDINGS{lafarge_cvpr08,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{Building reconstruction from a single DEM}, |
year |
= |
{2008}, |
month |
= |
{June}, |
booktitle |
= |
{Proc. IEEE Computer Vision and Pattern Recognition (CVPR)}, |
address |
= |
{Anchorage, Alaska, U.S.}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2008_lafarge_cvpr08.pdf}, |
keyword |
= |
{} |
} |
|
10 - Automatic 3D modeling of urban scenes from satellite images. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. In Proc. SPACEAPPLI, Toulouse, France, April 2008.
@INPROCEEDINGS{lafarge_spaceappli08,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{Automatic 3D modeling of urban scenes from satellite images}, |
year |
= |
{2008}, |
month |
= |
{April}, |
booktitle |
= |
{Proc. SPACEAPPLI}, |
address |
= |
{Toulouse, France}, |
url |
= |
{http://www.toulousespaceshow.eu/tss08/spaceappli08/index.htm}, |
keyword |
= |
{} |
} |
|
11 - Forest Fire Detection based on Gaussian field analysis. F. Lafarge and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), Poznan, Poland, September 2007. Note : Copyright EURASIP Keywords : Gaussian Field, DT-caracteristic, Forest fires.
@INPROCEEDINGS{lafarge_eusipco07,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Forest Fire Detection based on Gaussian field analysis}, |
year |
= |
{2007}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
address |
= |
{Poznan, Poland}, |
note |
= |
{Copyright EURASIP}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_lafarge_eusipco07.pdf}, |
keyword |
= |
{Gaussian Field, DT-caracteristic, Forest fires} |
} |
|
top of the page
These pages were generated by
|