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Publications of Gilles Aubert
Result of the query in the list of publications :
15 Articles |
11 - Wavelet-based Level Set Evolution for Classification of Textured Images. J.F. Aujol and G. Aubert and L. Blanc-Féraud. IEEE Trans. Image Processing, 12(12), 2003.
@ARTICLE{aujolGL,
|
author |
= |
{Aujol, J.F. and Aubert, G. and Blanc-Féraud, L.}, |
title |
= |
{Wavelet-based Level Set Evolution for Classification of Textured Images}, |
year |
= |
{2003}, |
journal |
= |
{IEEE Trans. Image Processing}, |
volume |
= |
{12}, |
number |
= |
{12}, |
pdf |
= |
{http://ieeexplore.ieee.org/iel5/83/28122/01257399.pdf?tp=&arnumber=1257399&isnumber=28122}, |
keyword |
= |
{} |
} |
|
12 - A variational model for image classification and restoration. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. IEEE Trans. Pattern Analysis ans Machine Intelligence, 22(5): pages 460-472, May 2000.
@ARTICLE{cs00,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{A variational model for image classification and restoration}, |
year |
= |
{2000}, |
month |
= |
{May}, |
journal |
= |
{IEEE Trans. Pattern Analysis ans Machine Intelligence}, |
volume |
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{22}, |
number |
= |
{5}, |
pages |
= |
{460-472}, |
pdf |
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{http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=857003}, |
keyword |
= |
{} |
} |
|
13 - A Level Set Model for Image Classification. C. Samson and L. Blanc-Féraud and G. Aubert and J. Zerubia. International Journal of Computer Vision, 40(3): pages 187-198, 2000.
@ARTICLE{cs00b,
|
author |
= |
{Samson, C. and Blanc-Féraud, L. and Aubert, G. and Zerubia, J.}, |
title |
= |
{A Level Set Model for Image Classification}, |
year |
= |
{2000}, |
journal |
= |
{International Journal of Computer Vision}, |
volume |
= |
{40}, |
number |
= |
{3}, |
pages |
= |
{187-198}, |
url |
= |
{http://link.springer.com/article/10.1023%2FA%3A1008183109594}, |
keyword |
= |
{} |
} |
|
14 - Some remarks on the equivalence between 2D and 3D classical snakes and geodesic active contours. L. Blanc-Féraud and G. Aubert. International Journal of Computer Vision, 34(1): pages 19-28, September 1999.
@ARTICLE{lbf99a,
|
author |
= |
{Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{Some remarks on the equivalence between 2D and 3D classical snakes and geodesic active contours}, |
year |
= |
{1999}, |
month |
= |
{September}, |
journal |
= |
{International Journal of Computer Vision}, |
volume |
= |
{34}, |
number |
= |
{1}, |
pages |
= |
{19-28}, |
url |
= |
{http://link.springer.com/article/10.1023%2FA%3A1008168219878}, |
keyword |
= |
{} |
} |
|
15 - Variational approach for edge preserving regularization using coupled PDE's. S. Teboul and L. Blanc-Féraud and G. Aubert and M. Barlaud. IEEE Trans. Image Processing, 7(3): pages 387-397, March 1998.
@ARTICLE{lbf98,
|
author |
= |
{Teboul, S. and Blanc-Féraud, L. and Aubert, G. and Barlaud, M.}, |
title |
= |
{Variational approach for edge preserving regularization using coupled PDE's}, |
year |
= |
{1998}, |
month |
= |
{March}, |
journal |
= |
{IEEE Trans. Image Processing}, |
volume |
= |
{7}, |
number |
= |
{3}, |
pages |
= |
{387-397}, |
pdf |
= |
{http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=661189}, |
keyword |
= |
{} |
} |
|
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23 Conference articles |
1 - A new variational method for preserving point-like and curve-like singularities in 2d images. D. Graziani and L. Blanc-Féraud and G. Aubert. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 2011. Keywords : Convex optimization, nesterov scheme, laplacian operator.
@INPROCEEDINGS{ICASSP_Graziani11,
|
author |
= |
{Graziani, D. and Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{A new variational method for preserving point-like and curve-like singularities in 2d images}, |
year |
= |
{2011}, |
month |
= |
{May}, |
booktitle |
= |
{Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
address |
= |
{Prague, Czech Republic}, |
url |
= |
{http://hal.inria.fr/inria-00592603/fr/}, |
keyword |
= |
{Convex optimization, nesterov scheme, laplacian operator} |
} |
Abstract :
We propose a new variational method to restore point-like and curve-like singularities in 2-D images. As points and open curves are fine structures, they are difficult to restore by means of first order derivative operators computed in the noisy image. In this paper we propose to use the Laplacian operator of the observed intensity, since it becomes singular at points and curves. Then we propose to restore these singularities by introducing suitable regularization involving the l-1-norm of the Laplacian operator. Results are shown on synthetic an real data.
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2 - Detection and tracking of threats in aerial infrared images by a minimal path approach. G. Aubert and A. Baudour and L. Blanc-Féraud and L. Guillot and Y. Le Guilloux. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, Texas, USA, March 2010.
@INPROCEEDINGS{ICASSP10,
|
author |
= |
{Aubert, G. and Baudour, A. and Blanc-Féraud, L. and Guillot, L. and Le Guilloux, Y.}, |
title |
= |
{Detection and tracking of threats in aerial infrared images by a minimal path approach}, |
year |
= |
{2010}, |
month |
= |
{March}, |
booktitle |
= |
{Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
address |
= |
{Dallas, Texas, USA}, |
pdf |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5495518}, |
keyword |
= |
{} |
} |
|
3 - A new variational method to detect points in biological images. D. Graziani and L. Blanc-Féraud and G. Aubert. In ISBI'09, Org. IEEE International Symposium on Biomedical Imaging, Boston, USA, June 2009. Keywords : Biological images, points detection, Gamma-convergence.
@INPROCEEDINGS{GRAZIANI_ISBI2009,
|
author |
= |
{Graziani, D. and Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{A new variational method to detect points in biological images}, |
year |
= |
{2009}, |
month |
= |
{June}, |
booktitle |
= |
{ISBI'09}, |
organization |
= |
{IEEE International Symposium on Biomedical Imaging}, |
address |
= |
{Boston, USA}, |
url |
= |
{http://dx.doi.org/10.1109/ISBI.2009.5193301}, |
keyword |
= |
{Biological images, points detection, Gamma-convergence} |
} |
Abstract :
We propose a new variational method to isolate points in biological images. As points are fine structures they are difficult to detect by derivative operators computed in the noisy image. In this paper we propose to compute a vector field from the observed intensity so that its divergence explodes at points. As the image could contains spots but also noise and curves where the divergence also blows up, we propose to capture spots by introducing suitable energy whose minimizers are given by the points we want to detect. In order to provide numerical experiments we approximate this energy by means of a sequence of more treatable functionals by a Gamma-convergence approach. Results are shown on synthetic and biological images. |
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4 - A contrast equalization procedure for change detection algorithms: applications to remotely sensed images of urban areas. A. Fournier and P. Weiss and L. Blanc-Féraud and G. Aubert. In International Conference on Pattern Recognition (ICPR), Tampa, USA, December 2008. Keywords : Change detection, Level Lines, remote sensing. Copyright : ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
@INPROCEEDINGS{l_lines_icpr08,
|
author |
= |
{Fournier, A. and Weiss, P. and Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{A contrast equalization procedure for change detection algorithms: applications to remotely sensed images of urban areas}, |
year |
= |
{2008}, |
month |
= |
{December}, |
booktitle |
= |
{International Conference on Pattern Recognition (ICPR)}, |
address |
= |
{Tampa, USA}, |
url |
= |
{http://www.math.univ-toulouse.fr/~weiss/Publis/Conferences/icpr2008.pdf}, |
pdf |
= |
{http://www.math.univ-toulouse.fr/~weiss/Publis/Conferences/icpr2008.pdf}, |
keyword |
= |
{Change detection, Level Lines, remote sensing} |
} |
|
5 - Sur la complexite et la rapidite d’algorithmes pour la minimisation de la variation totale sous contraintes. P. Weiss and L. Blanc-Féraud and G. Aubert. In Proc. Symposium on Signal and Image Processing (GRETSI), Troyes, France, September 2007. Keywords : l1 norm minimization, compression noise denoising, optimal algorithm, convex analysis, Total variation, nesterov scheme.
@INPROCEEDINGS{Pierre Weiss,
|
author |
= |
{Weiss, P. and Blanc-Féraud, L. and Aubert, G.}, |
title |
= |
{Sur la complexite et la rapidite d’algorithmes pour la minimisation de la variation totale sous contraintes}, |
year |
= |
{2007}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. Symposium on Signal and Image Processing (GRETSI)}, |
address |
= |
{Troyes, France}, |
url |
= |
{http://www.math.univ-toulouse.fr/~weiss/Publis/Conferences/Gretsi_WeissBlancFeraudAubert_2010.PDF}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_Pierre Weiss.pdf}, |
keyword |
= |
{l1 norm minimization, compression noise denoising, optimal algorithm, convex analysis, Total variation, nesterov scheme} |
} |
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