|
Publications of Gilles Aubert
Result of the query in the list of publications :
23 Conference articles |
6 - Detection and Completion of Filaments: A Vector Field and PDE Approach. A. Baudour and G. Aubert and L. Blanc-Féraud. In SSVM 2007, LNCS 4485 proceedings, 2007.
@INPROCEEDINGS{ssvm2007,
|
author |
= |
{Baudour, A. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{Detection and Completion of Filaments: A Vector Field and PDE Approach}, |
year |
= |
{2007}, |
booktitle |
= |
{ SSVM 2007, LNCS 4485 proceedings}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_ssvm2007.pdf}, |
keyword |
= |
{} |
} |
|
7 - Détection et Complétion de Filaments: une approche variationelle et vectorielle. A. Baudour and G. Aubert and L. Blanc-Féraud. In Colloque Gretsi Troyes, 2007, 2007.
@INPROCEEDINGS{ Gretsi 2007,
|
author |
= |
{Baudour, A. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{Détection et Complétion de Filaments: une approche variationelle et vectorielle}, |
year |
= |
{2007}, |
booktitle |
= |
{Colloque Gretsi Troyes, 2007}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_ Gretsi 2007.pdf}, |
keyword |
= |
{} |
} |
|
8 - Image Disocclusion Using a Probabilistic Gradient Orientation. E. Villéger and G. Aubert and L. Blanc-Féraud. In Proc. International Conference on Pattern Recognition (ICPR), Cambridge, United Kingdom, August 2004.
@INPROCEEDINGS{Villeger04,
|
author |
= |
{Villéger, E. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{Image Disocclusion Using a Probabilistic Gradient Orientation}, |
year |
= |
{2004}, |
month |
= |
{August}, |
booktitle |
= |
{Proc. International Conference on Pattern Recognition (ICPR)}, |
address |
= |
{Cambridge, United Kingdom}, |
pdf |
= |
{http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1334034}, |
keyword |
= |
{} |
} |
|
9 - A $l^1$-unified variational framework for image restoration. J. Bect and L. Blanc-Féraud and G. Aubert and A. Chambolle. In Proc. European Conference on Computer Vision (ECCV), Vol. LNCS 3024, pages 1--13, Ed. T. Pajdla and J. Matas, Publ. Springer, Prague, Czech Republic, May 2004.
@INPROCEEDINGS{eccv04,
|
author |
= |
{Bect, J. and Blanc-Féraud, L. and Aubert, G. and Chambolle, A.}, |
title |
= |
{A $l^1$-unified variational framework for image restoration}, |
year |
= |
{2004}, |
month |
= |
{May}, |
booktitle |
= |
{Proc. European Conference on Computer Vision (ECCV)}, |
volume |
= |
{LNCS 3024}, |
pages |
= |
{1--13}, |
editor |
= |
{T. Pajdla and J. Matas}, |
publisher |
= |
{Springer}, |
address |
= |
{Prague, Czech Republic}, |
url |
= |
{http://link.springer.com/chapter/10.1007%2F978-3-540-24673-2_1}, |
keyword |
= |
{} |
} |
|
10 - Décomposition D'images: Application Aux Images RSO. J.F. Aujol and G. Aubert and L. Blanc-Féraud and A. Chambolle. In Proc. GRETSI Symposium on Signal and Image Processing, Paris, France, September 2003.
@INPROCEEDINGS{jf_gretsi,
|
author |
= |
{Aujol, J.F. and Aubert, G. and Blanc-Féraud, L. and Chambolle, A.}, |
title |
= |
{Décomposition D'images: Application Aux Images RSO}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
address |
= |
{Paris, France}, |
url |
= |
{http://documents.irevues.inist.fr/handle/2042/13577}, |
keyword |
= |
{} |
} |
|
11 - Wavelet-Based Level Set Evolution for Classification of Textured Images. J.F. Aujol and G. Aubert and L. Blanc-Féraud. In Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.
@INPROCEEDINGS{jf_icip,
|
author |
= |
{Aujol, J.F. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{Wavelet-Based Level Set Evolution for Classification of Textured Images}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Barcelona, Spain}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1246863}, |
keyword |
= |
{} |
} |
|
12 - Filtering interferometric phase images by anisotropic diffusion. C. Lacombe and G. Aubert and L. Blanc-Féraud and P. Kornprobst. In Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, September 2003.
@INPROCEEDINGS{ClacombGALBFPK,
|
author |
= |
{Lacombe, C. and Aubert, G. and Blanc-Féraud, L. and Kornprobst, P.}, |
title |
= |
{Filtering interferometric phase images by anisotropic diffusion}, |
year |
= |
{2003}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Barcelona}, |
url |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1247201}, |
keyword |
= |
{} |
} |
|
13 - Decomposing an Image: Application to SAR Images. J.F. Aujol and G. Aubert and L. Blanc-Féraud and A. Chambolle. In Proc. Scale-Space, Vol. 2695, series Lecture No, June 2003.
@INPROCEEDINGS{jf_scalespace,
|
author |
= |
{Aujol, J.F. and Aubert, G. and Blanc-Féraud, L. and Chambolle, A.}, |
title |
= |
{Decomposing an Image: Application to SAR Images}, |
year |
= |
{2003}, |
month |
= |
{June}, |
booktitle |
= |
{Proc. Scale-Space}, |
volume |
= |
{2695}, |
series |
= |
{Lecture No}, |
url |
= |
{http://link.springer.com/chapter/10.1007%2F3-540-44935-3_21}, |
keyword |
= |
{} |
} |
|
14 - Diffusion anisotrope et filtrage interférométrique. C. Lacombe and G. Aubert and L. Blanc-Féraud and P. Kornprobst. In Congrès National d'Analyse Numérique, Montpellier, June 2003.
@INPROCEEDINGS{Lacombe-Canum03,
|
author |
= |
{Lacombe, C. and Aubert, G. and Blanc-Féraud, L. and Kornprobst, P.}, |
title |
= |
{Diffusion anisotrope et filtrage interférométrique}, |
year |
= |
{2003}, |
month |
= |
{June}, |
booktitle |
= |
{Congrès National d'Analyse Numérique}, |
address |
= |
{Montpellier}, |
url |
= |
{http://www.i3m.univ-montp2.fr/CANUM2003/}, |
pdf |
= |
{http://www.i3m.univ-montp2.fr/CANUM2003/COMMUNICATIONS/CONF_ORALES/caroline.lacombe.pdf}, |
keyword |
= |
{} |
} |
|
15 - Filtrage adaptatif des interférogrammes par diffusion anisotrope. C. Lacombe and G. Aubert and L. Blanc-Féraud and P. Kornprobst. In Proc. Journées des jeunes chercheurs en vision par ordinateur, Gerardmer, May 2003.
@INPROCEEDINGS{CLGALBFPK,
|
author |
= |
{Lacombe, C. and Aubert, G. and Blanc-Féraud, L. and Kornprobst, P.}, |
title |
= |
{Filtrage adaptatif des interférogrammes par diffusion anisotrope}, |
year |
= |
{2003}, |
month |
= |
{May}, |
booktitle |
= |
{Proc. Journées des jeunes chercheurs en vision par ordinateur}, |
address |
= |
{Gerardmer}, |
ps |
= |
{http://www-math.unice.fr/publis/clacombe_orasis03.ps}, |
keyword |
= |
{} |
} |
|
16 - A variational approach to one dimensional phase unwrapping. C. Lacombe and P. Kornprobst and G. Aubert and L. Blanc-Féraud. In Proc. International Conference on Pattern Recognition (ICPR), Québec, Canada, August 2002.
@INPROCEEDINGS{lacombekronp,
|
author |
= |
{Lacombe, C. and Kornprobst, P. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{A variational approach to one dimensional phase unwrapping}, |
year |
= |
{2002}, |
month |
= |
{August}, |
booktitle |
= |
{Proc. International Conference on Pattern Recognition (ICPR)}, |
address |
= |
{Québec, Canada}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1048426}, |
keyword |
= |
{} |
} |
|
17 - Two variational models for multispectral image classification. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. In Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Sophia Antipolis, France, September 2001.
@INPROCEEDINGS{lbf01a,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{Two variational models for multispectral image classification}, |
year |
= |
{2001}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, |
address |
= |
{Sophia Antipolis, France}, |
url |
= |
{http://link.springer.com/chapter/10.1007%2F3-540-44745-8_23}, |
keyword |
= |
{} |
} |
|
18 - Multiphase evolution and variational image classification. L. Blanc-Féraud and C. Samson and G. Aubert and J. Zerubia. In Congress SIMAI, Ischia, Italie, June 2000. Note : papier
@INPROCEEDINGS{lbf00a,
|
author |
= |
{Blanc-Féraud, L. and Samson, C. and Aubert, G. and Zerubia, J.}, |
title |
= |
{Multiphase evolution and variational image classification}, |
year |
= |
{2000}, |
month |
= |
{June}, |
booktitle |
= |
{Congress SIMAI}, |
address |
= |
{Ischia, Italie}, |
note |
= |
{papier}, |
url |
= |
{http://opac.inria.fr/record=b1115247}, |
keyword |
= |
{} |
} |
|
19 - Une approche variationnelle pour la classification d'images par régions actives. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. In Proc. Reconnaissance des formes et Intelligence Artificielle, Paris, France, February 2000.
@INPROCEEDINGS{cs00a,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{Une approche variationnelle pour la classification d'images par régions actives}, |
year |
= |
{2000}, |
month |
= |
{February}, |
booktitle |
= |
{Proc. Reconnaissance des formes et Intelligence Artificielle}, |
address |
= |
{Paris, France}, |
pdf |
= |
{Articles/rfia2000.pdf}, |
keyword |
= |
{} |
} |
|
20 - A Level Set Model for Image Classification. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. In Proc. Scale-Space, Corfu, Grèce, September 1999.
@INPROCEEDINGS{cs99d,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{A Level Set Model for Image Classification}, |
year |
= |
{1999}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. Scale-Space}, |
address |
= |
{Corfu, Grèce}, |
url |
= |
{http://link.springer.com/chapter/10.1007%2F3-540-48236-9_27}, |
keyword |
= |
{} |
} |
|
21 - Simultaneous Image Classification and Restoration Using a Variational Approach. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. In Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Fort Collins, Colorado, USA, June 1999.
@INPROCEEDINGS{cs99c,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{Simultaneous Image Classification and Restoration Using a Variational Approach}, |
year |
= |
{1999}, |
month |
= |
{June}, |
booktitle |
= |
{Proc. IEEE Computer Vision and Pattern Recognition (CVPR)}, |
address |
= |
{Fort Collins, Colorado, USA}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=784985}, |
keyword |
= |
{} |
} |
|
22 - Classification et Restauration d'Images par Approche Variationnelle. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. In Proc. Journées des jeunes chercheurs en vision par ordinateur, Aussois, France, 1999.
@INPROCEEDINGS{cs99b,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{Classification et Restauration d'Images par Approche Variationnelle}, |
year |
= |
{1999}, |
booktitle |
= |
{Proc. Journées des jeunes chercheurs en vision par ordinateur}, |
address |
= |
{Aussois, France}, |
pdf |
= |
{Articles/orasis1999.pdf}, |
keyword |
= |
{} |
} |
|
23 - Active contour models for segmentation and reconstruction on medical images. S. Teboul and L. Blanc-Féraud and G. Aubert and M. Barlaud. In Asilomar Conference, USA, November 1998.
@INPROCEEDINGS{lbf98g,
|
author |
= |
{Teboul, S. and Blanc-Féraud, L. and Aubert, G. and Barlaud, M.}, |
title |
= |
{Active contour models for segmentation and reconstruction on medical images}, |
year |
= |
{1998}, |
month |
= |
{November}, |
booktitle |
= |
{Asilomar Conference}, |
address |
= |
{USA}, |
keyword |
= |
{} |
} |
|
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15 Technical and Research Reports |
1 - A formal Gamma-convergence approach for the detection of points in 2-D images. D. Graziani and L. Blanc-Féraud and G. Aubert. Research Report 7038, INRIA, May 2009. Note : to appear Siam Journal of Imaging Science Keywords : points detection, curvature-depending functionals, divergence-measure fields, Gamma-convergence, biological 2-D images.
@TECHREPORT{GRAZIANI_GAMMA_POINTS,
|
author |
= |
{Graziani, D. and Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{A formal Gamma-convergence approach for the detection of points in 2-D images}, |
year |
= |
{2009}, |
month |
= |
{May}, |
institution |
= |
{INRIA}, |
type |
= |
{Research Report}, |
number |
= |
{7038}, |
note |
= |
{to appear Siam Journal of Imaging Science}, |
url |
= |
{https://hal.inria.fr/inria-00418526}, |
keyword |
= |
{points detection, curvature-depending functionals, divergence-measure fields, Gamma-convergence, biological 2-D images} |
} |
|
2 - On the illumination invariance of the level lines under directed light. Application to change detection. P. Weiss and A. Fournier and L. Blanc-Féraud and G. Aubert. Research Report 6612, INRIA, 2008. Keywords : Level Lines, illumination invariance, topographic map, Change detection, remote sensing, Urban areas. Copyright :
@TECHREPORT{RR-6612,
|
author |
= |
{Weiss, P. and Fournier, A. and Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{On the illumination invariance of the level lines under directed light. Application to change detection}, |
year |
= |
{2008}, |
institution |
= |
{INRIA}, |
type |
= |
{Research Report}, |
number |
= |
{6612}, |
url |
= |
{https://hal.archives-ouvertes.fr/inria-00310383}, |
pdf |
= |
{http://hal.inria.fr/docs/00/31/03/83/PDF/RR-6612.pdf}, |
keyword |
= |
{Level Lines, illumination invariance, topographic map, Change detection, remote sensing, Urban areas} |
} |
Abstract :
We analyze the illumination invariance of the level lines of an image. We show that if the scene surface has Lambertian reflectance and the light is directed, then a necessary condition for the level lines to be illumination invariant is that the 3D scene be developable and that its albedo satisfies some geometrical constraints. We then show that the level lines are ``almost'' invariant for piecewise developable surfaces. Such surfaces fit most of the urban structures. In a second part, this allows us to devise a very fast algorithm that detects changes between pairs of remotely sensed images of urban areas, independently of the lighting conditions. We show the effectiveness of the algorithm both on synthetic OpenGL scenes and real Quickbird images. We compare the efficiency of the proposed algorithm with other classical approaches and show that it is superior both in practice and in theory. |
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