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Publications of type 'inproceedings'
Result of the query in the list of publications :
245 Conference articles |
141 - Segmentation of remote sensing images by supervised TS-MRF. G. Poggi and G. Scarpa and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Singapore, October 2004.
@INPROCEEDINGS{poggi_icip04,
|
author |
= |
{Poggi, G. and Scarpa, G. and Zerubia, J.}, |
title |
= |
{Segmentation of remote sensing images by supervised TS-MRF}, |
year |
= |
{2004}, |
month |
= |
{October}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Singapore}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1421441}, |
keyword |
= |
{} |
} |
|
142 - Gap closure in (road) networks using higher-order active contours. M. Rochery and I. H. Jermyn and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Singapore, October 2004. Keywords : Active contour, Gap closure, Higher-order, Shape, Road network.
@INPROCEEDINGS{Rochery04,
|
author |
= |
{Rochery, M. and Jermyn, I. H. and Zerubia, J.}, |
title |
= |
{Gap closure in (road) networks using higher-order active contours}, |
year |
= |
{2004}, |
month |
= |
{October}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Singapore}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/rochery_icip04.pdf}, |
keyword |
= |
{Active contour, Gap closure, Higher-order, Shape, Road network} |
} |
Abstract :
We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to be closed. Using higher-order active contours, which allow the incorporation of sophisticated geometric information, we introduce a new, non-local, `gap closure' force that causes pairs of network extremities that are close together to extend towards one another and join, thus closing the gap
between them. We demonstrate the benefits of the model using the problem of road network extraction, presenting results on aerial images. |
|
143 - Texture analysis using adaptative biorthogonal wavelet packets. G.C.K. Abhayaratne and I. H. Jermyn and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Singapore, October 2004. Keywords : Adaptive, Wavelet packet, Biorthogonal, Texture, Statistics.
@INPROCEEDINGS{Abhayratne_icip04,
|
author |
= |
{Abhayaratne, G.C.K. and Jermyn, I. H. and Zerubia, J.}, |
title |
= |
{Texture analysis using adaptative biorthogonal wavelet packets}, |
year |
= |
{2004}, |
month |
= |
{October}, |
booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
address |
= |
{Singapore}, |
pdf |
= |
{http://www-sop.inria.fr/members/Ian.Jermyn/publications/Abhayaratne04icip.pdf}, |
keyword |
= |
{Adaptive, Wavelet packet, Biorthogonal, Texture, Statistics} |
} |
Abstract :
We discuss the use of adaptive biorthogonal wavelet packet bases
in a probabilistic approach to texture analysis, thus combining the
advantages of biorthogonal wavelets (FIR, linear phase) with those
of a coherent texture model. The computation of the probability
uses both the primal and dual coefcients of the adapted biorthogonal
wavelet packet basis. The computation of the biorthogonal
wavelet packet coefcients is done using a lifting scheme, which
is very efficient. The model is applied to the classification of mosaics
of Brodatz textures, the results showing improvement over
the performance of the corresponding orthogonal wavelets. |
|
144 - Unsupervised line network extraction from remotely sensed images by polyline process. C. Lacoste and X. Descombes and J. Zerubia and N. Baghdadi. In Proc. European Signal Processing Conference (EUSIPCO), University of Technology, Vienna, Austria, September 2004.
@INPROCEEDINGS{lacoste04b,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J. and Baghdadi, N.}, |
title |
= |
{Unsupervised line network extraction from remotely sensed images by polyline process}, |
year |
= |
{2004}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
address |
= |
{University of Technology, Vienna, Austria}, |
url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7079995}, |
pdf |
= |
{http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1608.pdf}, |
keyword |
= |
{} |
} |
|
145 - A Discontinuity detector for building extraction from Digital Elevation Models by stochastic geometry. M. Ortner and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), University of Technology, Vienna, Austria, September 2004. Note : this paper has received a Young Authors award
@INPROCEEDINGS{ortner04b,
|
author |
= |
{Ortner, M. and Descombes, X. and Zerubia, J.}, |
title |
= |
{A Discontinuity detector for building extraction from Digital Elevation Models by stochastic geometry}, |
year |
= |
{2004}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
address |
= |
{University of Technology, Vienna, Austria}, |
note |
= |
{this paper has received a Young Authors award}, |
url |
= |
{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7079720}, |
keyword |
= |
{} |
} |
|
146 - Simultaneous structure and texture compact representation. J.F. Aujol and B. Matei. In Proc. Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, September 2004.
@INPROCEEDINGS{jf_acivs,
|
author |
= |
{Aujol, J.F. and Matei, B.}, |
title |
= |
{Simultaneous structure and texture compact representation}, |
year |
= |
{2004}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. Advanced Concepts for Intelligent Vision Systems}, |
address |
= |
{Brussels, Belgium}, |
pdf |
= |
{http://www.math.u-bordeaux1.fr/~jaujol/PAPERS/acivscompression.pdf}, |
keyword |
= |
{} |
} |
|
147 - SAR amplitude probability density function estimation based on a generalized Gaussian scattering model. G. Moser and J. Zerubia and S.B. Serpico. In Proc. SPIE Symposium on Remote Sensing, Maspalomas, Gran Canaria, Spain, September 2004.
@INPROCEEDINGS{moser2004a,
|
author |
= |
{Moser, G. and Zerubia, J. and Serpico, S.B.}, |
title |
= |
{SAR amplitude probability density function estimation based on a generalized Gaussian scattering model}, |
year |
= |
{2004}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. SPIE Symposium on Remote Sensing}, |
address |
= |
{Maspalomas, Gran Canaria, Spain}, |
url |
= |
{http://dx.doi.org/10.1117/12.567853}, |
keyword |
= |
{} |
} |
|
148 - Finite mixture models and stochastic EM for SAR amplitude probability density function estimation based on a dictionary of parametric families. G. Moser and J. Zerubia and S.B. Serpico. In Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Anchorage , USA, September 2004.
@INPROCEEDINGS{moser2004b,
|
author |
= |
{Moser, G. and Zerubia, J. and Serpico, S.B.}, |
title |
= |
{Finite mixture models and stochastic EM for SAR amplitude probability density function estimation based on a dictionary of parametric families}, |
year |
= |
{2004}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, |
address |
= |
{Anchorage , USA}, |
url |
= |
{http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1368708}, |
keyword |
= |
{} |
} |
|
149 - Tree Crown Extraction using Marked Point Processes. G. Perrin and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), University of Technology, Vienna, Austria, September 2004. Keywords : RJMCMC, Marked point process, Simulated Annealing, Tree Crown Extraction, Object extraction, Stochastic geometry.
@INPROCEEDINGS{perrin04a,
|
author |
= |
{Perrin, G. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Tree Crown Extraction using Marked Point Processes}, |
year |
= |
{2004}, |
month |
= |
{September}, |
booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
address |
= |
{University of Technology, Vienna, Austria}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/perrin_eusipco2004.pdf}, |
ps |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/perrin_eusipco2004.ps.gz}, |
keyword |
= |
{RJMCMC, Marked point process, Simulated Annealing, Tree Crown Extraction, Object extraction, Stochastic geometry} |
} |
Abstract :
In this paper we aim at extracting tree crowns from remotely sensed images. Our approach is to consider that these images are some realizations of a marked point process. The first step is to define the geometrical objects that design the trees, and the density of the process.
Then, we use a Reversible Jump Markov Chain Monte Carlo dynamics and a simulated annealing to get the maximum a posteriori estimator of the tree crown distribution on the image. Transitions of the Markov chain are managed by some specific proposition kernels.
Results are shown on aerial images of poplars provided by IFN. |
|
150 - 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 |
= |
{} |
} |
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