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Publications de 2001
Résultat de la recherche dans la liste des publications :
15 Articles de conférence |
7 - Estimation de paramètres instrumentaux en imagerie satellitaire.
A. Jalobeanu et L. Blanc-Féraud et J. Zerubia. Dans Proc. GRETSI Symposium on Signal and Image Processing, Toulouse, France, septembre 2001.
@INPROCEEDINGS{aj01d,
|
| author |
= |
{Jalobeanu, A. and Blanc-Féraud, L. and Zerubia, J.}, |
| title |
= |
{Estimation de paramètres instrumentaux en imagerie satellitaire}, |
| year |
= |
{2001}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
| address |
= |
{Toulouse, France}, |
| url |
= |
{http://documents.irevues.inist.fr/handle/2042/13231}, |
| keyword |
= |
{} |
| } |
|
8 - Parameter estimation by a Markov Chain Monte Carlo technique for the Candy-model.
X. Descombes et M.N.M. van Lieshout et R. Stoica et J. Zerubia. Dans IEEE Workshop on Statistical Signal Processing, papier invité, Singapour, août 2001.
@INPROCEEDINGS{xd01e,
|
| author |
= |
{Descombes, X. and van Lieshout, M.N.M. and Stoica, R. and Zerubia, J.}, |
| title |
= |
{Parameter estimation by a Markov Chain Monte Carlo technique for the Candy-model}, |
| year |
= |
{2001}, |
| month |
= |
{août}, |
| booktitle |
= |
{IEEE Workshop on Statistical Signal Processing}, |
| address |
= |
{papier invité, Singapour}, |
| url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=955212}, |
| keyword |
= |
{} |
| } |
|
9 - Region extraction from multiple images.
H. Ishikawa et I. H. Jermyn. Dans Proc. IEEE International Conference on Computer Vision (ICCV), Vancouver, Canada, juillet 2001.
Mots-clés : Stereo, Motion, global, optimum, Graphe, Cycle.
@INPROCEEDINGS{IJ01a,
|
| author |
= |
{Ishikawa, H. and Jermyn, I. H.}, |
| title |
= |
{Region extraction from multiple images}, |
| year |
= |
{2001}, |
| month |
= |
{juillet}, |
| booktitle |
= |
{Proc. IEEE International Conference on Computer Vision (ICCV)}, |
| address |
= |
{Vancouver, Canada}, |
| pdf |
= |
{http://www-sop.inria.fr/members/Ian.Jermyn/publications/Jermyn01iccv.pdf}, |
| keyword |
= |
{Stereo, Motion, global, optimum, Graphe, Cycle} |
| } |
Abstract :
We present a method for region identification in multiple
images. A set of regions in different images and the
correspondences on their boundaries can be thought of as
a boundary in the multi-dimensional space formed by the
product of the individual image domains. We minimize an
energy functional on the space of such boundaries, thereby
identifying simultaneously both the optimal regions in each
image and the optimal correspondences on their boundaries.
We use a ratio form for the energy functional, thus
enabling the global minimization of the energy functional
using a polynomial time graph algorithm, among other desirable
properties. We choose a simple form for this energy
that favours boundaries that lie on high intensity gradients
in each image, while encouraging correspondences between
boundaries in different images that match intensity values.
The latter tendency is weighted by a novel heuristic energy
that encourages the boundaries to lie on disparity or optical
flow discontinuities, although no dense optical flow or
disparity map is computed. |
|
10 - La poursuite de projection pour la classification d'images hyperspectrales texturées.
G. Rellier et X. Descombes et J. Zerubia et F. Falzon. Dans Proc. Journées des jeunes chercheurs en vision par ordinateur, Cahors, France, juin 2001.
@INPROCEEDINGS{xd01i,
|
| author |
= |
{Rellier, G. and Descombes, X. and Zerubia, J. and Falzon, F.}, |
| title |
= |
{La poursuite de projection pour la classification d'images hyperspectrales texturées}, |
| year |
= |
{2001}, |
| month |
= |
{juin}, |
| booktitle |
= |
{Proc. Journées des jeunes chercheurs en vision par ordinateur}, |
| address |
= |
{Cahors, France}, |
| url |
= |
{http://www.irit.fr/ORASIS2001/}, |
| ps |
= |
{http://www.irit.fr/ORASIS2001/images/docs/rellier.ps.gz}, |
| keyword |
= |
{} |
| } |
|
11 - Apport de l'imagerie radar pour l'extraction des zones urbaines.
O. Viveros-Cancino et X. Descombes et J. Zerubia. Dans Proc. Journées des jeunes chercheurs en vision par ordinateur, Cahors, France, juin 2001.
@INPROCEEDINGS{xd01j,
|
| author |
= |
{Viveros-Cancino, O. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Apport de l'imagerie radar pour l'extraction des zones urbaines}, |
| year |
= |
{2001}, |
| month |
= |
{juin}, |
| booktitle |
= |
{Proc. Journées des jeunes chercheurs en vision par ordinateur}, |
| address |
= |
{Cahors, France}, |
| url |
= |
{http://www.irit.fr/ORASIS2001/}, |
| ps |
= |
{http://www.irit.fr/ORASIS2001/images/docs/viveros.ps.gz}, |
| keyword |
= |
{} |
| } |
|
12 - Estimation rapide du paramètre de régularisation en déconvolution d'images.
A. Jalobeanu et L. Blanc-Féraud et J. Zerubia. Dans Proc. Journées des jeunes chercheurs en vision par ordinateur, Cahors, France, juin 2001.
@INPROCEEDINGS{aj01c,
|
| author |
= |
{Jalobeanu, A. and Blanc-Féraud, L. and Zerubia, J.}, |
| title |
= |
{Estimation rapide du paramètre de régularisation en déconvolution d'images}, |
| year |
= |
{2001}, |
| month |
= |
{juin}, |
| booktitle |
= |
{Proc. Journées des jeunes chercheurs en vision par ordinateur}, |
| address |
= |
{Cahors, France}, |
| url |
= |
{http://www.irit.fr/ORASIS2001/}, |
| ps |
= |
{http://www.irit.fr/ORASIS2001/images/docs/jalobeanu.ps.gz}, |
| keyword |
= |
{} |
| } |
|
13 - Judging whether multiple silhouettes can come from the same object.
D. Jacobs et P. Belhumeur et I. H. Jermyn. Dans Int. Workshop on Visual Form, Springer-Verlag Lecture Notes in Computer Science 2059, Capri, Italie, mai 2001.
@INPROCEEDINGS{IJ01b,
|
| author |
= |
{Jacobs, D. and Belhumeur, P. and Jermyn, I. H.}, |
| title |
= |
{Judging whether multiple silhouettes can come from the same object}, |
| year |
= |
{2001}, |
| month |
= |
{mai}, |
| booktitle |
= |
{Int. Workshop on Visual Form, Springer-Verlag Lecture Notes in Computer Science 2059}, |
| address |
= |
{Capri, Italie}, |
| pdf |
= |
{http://www-sop.inria.fr/members/Ian.Jermyn/publications/Jacobs01iwvf.pdf}, |
| keyword |
= |
{} |
| } |
Abstract :
We consider the problem of recognizing an object from its
silhouette. We focus on the case in which the camera translates, and
rotates about a known axis parallel to the image, such as when a mo-
bile robot explores an environment. In this case we present an algorithm
for determining whether a new silhouette could come from the same ob-
ject that produced two previously seen silhouettes. In a basic case, when
cross-sections of each silhouette are single line segments, we can check
for consistency between three silhouettes using linear programming. This
provides the basis for methods that handle more complex cases. We show
many experiments that demonstrate the performance of these methods
when there is noise, some deviation from the assumptions of the algo-
rithms, and partial occlusion. Previous work has addressed the problem
of precisely reconstructing an object using many silhouettes taken under
controlled conditions. Our work shows that recognition can be performed
without complete reconstruction, so that a small number of images can
be used, with viewpoints that are only partly constrained. |
|
14 - Modelling images with alpha-stable textures.
E.E. Kuruoglu et J. Zerubia. Dans Physics in Signal and Image Processing, Marseille, France, janvier 2001.
@INPROCEEDINGS{KuruJZ01,
|
| author |
= |
{Kuruoglu, E.E. and Zerubia, J.}, |
| title |
= |
{Modelling images with alpha-stable textures}, |
| year |
= |
{2001}, |
| month |
= |
{janvier}, |
| booktitle |
= |
{Physics in Signal and Image Processing}, |
| address |
= |
{Marseille, France}, |
| keyword |
= |
{} |
| } |
|
15 - Segmentation d'image haute résolution par processus Markov objet.
X. Descombes et S. Drot et M. Imberty et H. Le Men et J. Zerubia. Dans Séminaire Télédétection à très haute résolution spatiale et analyse d'image, Cemagref, Montpellier, France, 2001.
@INPROCEEDINGS{xd01k,
|
| author |
= |
{Descombes, X. and Drot, S. and Imberty, M. and Le Men, H. and Zerubia, J.}, |
| title |
= |
{Segmentation d'image haute résolution par processus Markov objet}, |
| year |
= |
{2001}, |
| booktitle |
= |
{Séminaire Télédétection à très haute résolution spatiale et analyse d'image, Cemagref}, |
| address |
= |
{Montpellier, France}, |
| url |
= |
{http://cemadoc.irstea.fr/oa/PUB00009549-segmentation-image-haute-resolution-par-processus.html}, |
| keyword |
= |
{} |
| } |
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4 Rapports de recherche et Rapports techniques |
1 - Segmentation of textured satellite and aerial images by Bayesian inference and Markov Random Fields.
S. Wilson et J. Zerubia. Rapport de Recherche 4336, INRIA, France, décembre 2001.
@TECHREPORT{wilsonJZ01,
|
| author |
= |
{Wilson, S. and Zerubia, J.}, |
| title |
= |
{Segmentation of textured satellite and aerial images by Bayesian inference and Markov Random Fields}, |
| year |
= |
{2001}, |
| month |
= |
{décembre}, |
| institution |
= |
{INRIA}, |
| type |
= |
{Research Report}, |
| number |
= |
{4336}, |
| address |
= |
{France}, |
| url |
= |
{https://hal.inria.fr/inria-00072251}, |
| pdf |
= |
{https://hal.inria.fr/file/index/docid/72251/filename/RR-4336.pdf}, |
| ps |
= |
{https://hal.inria.fr/docs/00/07/22/51/PS/RR-4336.ps}, |
| keyword |
= |
{} |
| } |
Résumé :
Nous étudions un modèle markovien double, initialement proposé par Melas et Wilson, pour la segmentation d'image. Le nombre de classes de l'image est obtenu par inférence bayésienne via un algorithme de Metropolis à saut réversible. Les mouvements habituellement utilisés dans une telle dynamique consistent en la fission ou la fusion de classes. Mais cela peut nécessiter beaucoup de temps de calcul, en particulier sur des images de grande taille. Ici, nous étudions des mouvements plus simples qui sont rapides à mettre en oeuvre, mais dont la mélangeance peut être longue. Nous proposons alors un schéma de fission/fusion plus complexe et comparons les performances obtenues. Nous effectuons des tests sur des images satellitai- res et aériennes. |
Abstract :
We investigate Bayesian solutions to image segmentation based on the double Markov random field model, originally proposed by Melas and Wilson. Inference on the number of classes in the image is done via reversible jump Metropolis moves. These moves, usually implemented by splitting and merging classes, can be very slow, making them impractical for large images. We investigate simpler reversible jump moves that are quick to implement but show that they may mix very slowly. We propose a more complex split and merge scheme and compare its performance. Tests are conducted on satellite and aerial images. |
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Rapport d'activité 2011
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