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Publications de 2007
Résultat de la recherche dans la liste des publications :
28 Articles de conférence |
2 - 3D city modeling based on Hidden Markov Model.
F. Lafarge et X. Descombes et J. Zerubia et M. Pierrot-Deseilligny. Dans Proc. IEEE International Conference on Image Processing (ICIP), San Antonio, U.S., septembre 2007.
Note : Copyright IEEE
Mots-clés : Reconstruction en 3D, Building, Hidden Markov Model.
@INPROCEEDINGS{lafarge_icip07,
|
| author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
| title |
= |
{3D city modeling based on Hidden Markov Model}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| address |
= |
{San Antonio, U.S.}, |
| note |
= |
{Copyright IEEE}, |
| url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4379207}, |
| keyword |
= |
{Reconstruction en 3D, Building, Hidden Markov Model} |
| } |
|
3 - A `Gas of Circles' Phase Field Model and its Application to Tree Crown Extraction.
P. Horvath et I. H. Jermyn. Dans Proc. European Signal Processing Conference (EUSIPCO), Poznan, Poland, septembre 2007.
Mots-clés : Champ de Phase, Extraction de Houppiers.
@INPROCEEDINGS{Horvath07d,
|
| author |
= |
{Horvath, P. and Jermyn, I. H.}, |
| title |
= |
{A `Gas of Circles' Phase Field Model and its Application to Tree Crown Extraction}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. European Signal Processing Conference (EUSIPCO)}, |
| address |
= |
{Poznan, Poland}, |
| pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_Horvath07d.pdf}, |
| keyword |
= |
{Champ de Phase, Extraction de Houppiers} |
| } |
Abstract :
The problem of extracting the region in the image domain
corresponding to an a priori unknown number of circular objects
occurs in several domains. We propose a new model of a `gas of
circles', the ensemble of regions in the image domain composed of
circles of a given radius. The model uses the phase field
reformulation of higher-order active contours (HOACs). Phase fields
possess several advantages over contour and level set approaches to
region modelling, in particular for HOAC models. The reformulation
allows us to benefit from these advantages without losing the
strengths of the HOAC framework. Combined with a suitable likelihood
energy, and applied to the tree crown extraction problem, the new
model shows markedly improved performance, both in quality of
results and in computation time, which is two orders of magnitude
less than the HOAC level set implementation.
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4 - A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images.
T. Peng et I. H. Jermyn et V. Prinet et J. Zerubia et B. Hu. Dans Proc. British Machine Vision Conference (BMVC), Warwick, UK, septembre 2007.
Mots-clés : Reseaux routiers, Very high resolution, Ordre superieur, Contour actif, Forme, A priori.
@INPROCEEDINGS{Peng07a,
|
| author |
= |
{Peng, T. and Jermyn, I. H. and Prinet, V. and Zerubia, J. and Hu, B.}, |
| title |
= |
{A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. British Machine Vision Conference (BMVC)}, |
| address |
= |
{Warwick, UK}, |
| pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_Peng07a.pdf}, |
| keyword |
= |
{Reseaux routiers, Very high resolution, Ordre superieur, Contour actif, Forme, A priori} |
| } |
Abstract :
We address the problem of updating road maps in dense urban areas by extracting the main road network from a very high resolution (VHR) satellite image. Our model of the region occupied by the road network in the image is innovative. It incorporates three different types of prior geometric knowledge: generic boundary smoothness constraints, equivalent to a standard active contour prior; knowledge of the geometric properties of road networks (i.e. that they occupy regions composed of long, low-curvature segments joined at junctions), equivalent to a higher-order active contour prior; and knowledge of the road network at an earlier date derived from GIS data, similar to other ‘shape priors’ in the literature. In addition, we represent the road network region as a ‘phase field’, which offers a number of important advantages over other region modelling frameworks. All three types of prior knowledge prove important for overcoming the complexity of geometric ‘noise’ in VHR images. Promising results and a comparison with several other techniques demonstrate the effectiveness of our approach. |
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5 - Apprentissage non supervisé des SVM par un algorithme des K-moyennes entropique pour la détection de zones brûlées.
O. Zammit et X. Descombes et J. Zerubia. Dans Proc. GRETSI Symposium on Signal and Image Processing, Troyes, France, septembre 2007.
Mots-clés : Imagerie satellitaire, Feux de foret, Zones brûlées, Classification, Support Vector Machines, Base d'apprentissage.
@INPROCEEDINGS{zammit_gretsi_07,
|
| author |
= |
{Zammit, O. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{Apprentissage non supervisé des SVM par un algorithme des K-moyennes entropique pour la détection de zones brûlées}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. GRETSI Symposium on Signal and Image Processing}, |
| address |
= |
{Troyes, France}, |
| pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_zammit_gretsi_07.pdf}, |
| keyword |
= |
{Imagerie satellitaire, Feux de foret, Zones brûlées, Classification, Support Vector Machines, Base d'apprentissage} |
| } |
|
6 - Rectangular Road Marking Detection with Marked Point Processes.
O. Tournaire et N. Paparoditis et F. Lafarge. Dans ISPRS Conference Photogrammetric Image Analysis (PIA), Vol. 36, pages 149--154, Org. IAPRS, Munich, Germany, septembre 2007.
@INPROCEEDINGS{tournaire_pia07,
|
| author |
= |
{Tournaire, O. and Paparoditis, N. and Lafarge, F.}, |
| title |
= |
{Rectangular Road Marking Detection with Marked Point Processes}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{ISPRS Conference Photogrammetric Image Analysis (PIA)}, |
| volume |
= |
{36}, |
| pages |
= |
{149--154}, |
| organization |
= |
{IAPRS}, |
| address |
= |
{Munich, Germany}, |
| pdf |
= |
{http://www-sop.inria.fr/ariana/Publis/2007-tournaire-pia.pdf}, |
| keyword |
= |
{} |
| } |
|
7 - A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs.
C. Benedek et T. Szirányi et Z. Kato et J. Zerubia. Dans Proc. IEEE International Conference on Image Processing (ICIP), Vol. 6, pages 141--144, San Antonio, Texas, USA, septembre 2007.
Mots-clés : Change detection, Aerial images, Camera motion, MRF.
Copyright : Copyright IEEE
@INPROCEEDINGS{benedek_ICIP07,
|
| author |
= |
{Benedek, C. and Szirányi, T. and Kato, Z. and Zerubia, J.}, |
| title |
= |
{A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs}, |
| year |
= |
{2007}, |
| month |
= |
{septembre}, |
| booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| volume |
= |
{6}, |
| pages |
= |
{141--144}, |
| address |
= |
{San Antonio, Texas, USA}, |
| url |
= |
{http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4379541&isnumber=4379494&punumber=4378863&k2dockey=4379541@ieeecnfs&query=%28benedek+%3Cin%3E+metadata%29+%3Cand%3E+%284379494+%3Cin%3E+isnumber%29&pos=0}, |
| pdf |
= |
{http://web.eee.sztaki.hu/~bcsaba/Publications/Pdf/benedek_icip2007.pdf}, |
| keyword |
= |
{Change detection, Aerial images, Camera motion, MRF} |
| } |
Abstract :
In this paper, we give a probabilistic model for automatic change detection on airborne images taken with moving cameras. To ensure robustness, we adopt an unsupervised coarse matching instead of a precise image registration. The challenge of the proposed model is to eliminate the registration errors, noise and the parallax artifacts caused by the static objects having considerable height (buildings, trees, walls etc.) from the difference image. We describe the background membership of a given image point through two different features, and introduce a novel three-layerMarkov Random Field (MRF) model to ensure connected homogenous regions in the segmented image. |
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8 - Sur la complexite et la rapidite d’algorithmes pour la minimisation de la variation totale sous contraintes.
P. Weiss et L. Blanc-Féraud et G. Aubert. Dans Proc. Symposium on Signal and Image Processing (GRETSI), Troyes, France, septembre 2007.
Mots-clés : l1 norm minimization, compression noise denoising, optimal algorithm, convex analysis, Variation totale, 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 |
= |
{septembre}, |
| 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, Variation totale, nesterov scheme} |
| } |
|
9 - A Multispectral Data Model for Higher-Order Active Contours and its Application to Tree Crown Extraction.
P. Horvath. Dans Proc. Advanced Concepts for Intelligent Vision Systems, Delft, Netherlands, août 2007.
Mots-clés : Ordre superieur, Extraction de Houppiers, Couleur.
@INPROCEEDINGS{Horvath07c,
|
| author |
= |
{Horvath, P.}, |
| title |
= |
{A Multispectral Data Model for Higher-Order Active Contours and its Application to Tree Crown Extraction}, |
| year |
= |
{2007}, |
| month |
= |
{août}, |
| booktitle |
= |
{Proc. Advanced Concepts for Intelligent Vision Systems}, |
| address |
= |
{Delft, Netherlands}, |
| pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_Horvath07c.pdf}, |
| keyword |
= |
{Ordre superieur, Extraction de Houppiers, Couleur} |
| } |
Abstract :
Forestry management makes great use of statistics concerning the
individual trees making up a forest, but the acquisition of this
information is expensive. Image processing can potentially both
reduce this cost and improve the statistics. The key problem is the
delineation of tree crowns in aerial images. The automatic solution
of this problem requires considerable prior information to be built
into the image and region models. Our previous work has focused on
including shape information in the region model; in this paper we
examine the image model. The aerial images involved have three
bands. We study the statistics of these bands, and construct both
multispectral and single band image models. We combine these with a
higher-order active contour model of a `gas of circles' in order to
include prior shape information about the region occupied by the
tree crowns in the image domain. We compare the results produced by
these models on real aerial images and conclude that multiple bands
improves the quality of the segmentation. The model has many other
potential applications, e.g. to nano-technology, microbiology,
physics, and medical imaging.
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10 - A New Phase Field Model of a `Gas of Circles' for Tree Crown Extraction from Aerial Images.
P. Horvath et I. H. Jermyn. Dans Proc. International Conference on Computer Analysis of Images and Patterns (CAIP), Vienna, Austria, août 2007.
Mots-clés : Champ de Phase, Extraction de Houppiers.
@INPROCEEDINGS{Horvath07b,
|
| author |
= |
{Horvath, P. and Jermyn, I. H.}, |
| title |
= |
{A New Phase Field Model of a `Gas of Circles' for Tree Crown Extraction from Aerial Images}, |
| year |
= |
{2007}, |
| month |
= |
{août}, |
| booktitle |
= |
{Proc. International Conference on Computer Analysis of Images and Patterns (CAIP)}, |
| address |
= |
{Vienna, Austria}, |
| pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_Horvath07b.pdf}, |
| keyword |
= |
{Champ de Phase, Extraction de Houppiers} |
| } |
Abstract :
We describe a model for tree crown extraction from aerial images, a
problem of great practical importance for the forestry industry. The
novelty lies in the prior model of the region occupied by tree
crowns in the image, which is a phase field version of the
higher-order active contour inflection point `gas of circles' model.
The model combines the strengths of the inflection point model with
those of the phase field framework: it removes the `phantom circles'
produced by the original `gas of circles' model, while executing two
orders of magnitude faster than the contour-based inflection point
model. The model has many other areas of application e.g., to
imagery in nanotechnology, biology, and physics. |
|
11 - Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves.
S. Joshi et E. Klassen et A. Srivastava et I. H. Jermyn. Dans Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Ezhou, China, août 2007.
Mots-clés : Forme, Reparameterization, Metrique, Geodesic.
Copyright : The original publication is available at www.springerlink.com.
@INPROCEEDINGS{Joshi07b,
|
| author |
= |
{Joshi, S. and Klassen, E. and Srivastava, A. and Jermyn, I. H.}, |
| title |
= |
{Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves}, |
| year |
= |
{2007}, |
| month |
= |
{août}, |
| booktitle |
= |
{Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, |
| address |
= |
{Ezhou, China}, |
| pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_Joshi07b.pdf}, |
| keyword |
= |
{Forme, Reparameterization, Metrique, Geodesic} |
| } |
Abstract :
This paper illustrates and extends an efficient framework, called the square-root-elastic (SRE) framework, for studying shapes of closed curves, that was first introduced in [2]. This framework combines the strengths of two important ideas - elastic shape metric and path-straightening methods - for finding geodesics in shape spaces of curves. The elastic metric allows for optimal matching of features between curves while path-straightening ensures that the algorithm results in geodesic paths. This paper extends this framework by removing two important shape preserving transformations: rotations and re-parameterizations, by forming quotient spaces and constructing geodesics on these quotient spaces. These ideas are demonstrated using experiments involving 2D and 3D curves. |
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