Rachid Deriche

Luis Alvarez, Rachid Deriche, Joachim Weickert

Cet article d#crit une nouvelle m#thode # base de propagation de fronts pour traiter de mani#re uni#e le probl#me important du suivi et de l'estimation du mouvement d'objets mobiles non...

3 (2007)

Rachid Deriche

Evaluation de d'etecteurs de points d'int'eret pour la couleur

2 (2007)

We present an energy based approach to estimate a dense disparity map from a set of two weakly calibrated stereoscopic images while preserving its discontinuities resulting from image boundaries. We...

Depart. de Inform#tica y Sistemas (2007)

Luis Alvarez, Rachid Deriche, Joachim Weickert

We present an energy based approach to estimate a dense disparity map from a set of two weakly calibrated stereoscopic images while preserving its discontinuities resulting from image boundaries. We...

Régions Actives Géodésiques et Courbes de Niveau pour la Segmentation Supervise d'Images Textures Geodesic Active Regions and Level Sets for Supervised Texture Segmentation (2007)

Nikos Paragios, Rachid Deriche, Mots Clefs

This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic and anisotropic...

ArTemis: A Level Set Geodesic Active Tracker (2007)

Techniques D'extraction De Contours. (2007)

Introduction Artemis 1 is a program for detecting and tracking multiple moving objects over grey-level sequences which have been acquired from a static camera. Detection and tracking of moving...

Rachid Deriche

Introduction L'extraction de contours joue un role primordial dans tout syst`eme de vision par ordinateur. Beaucoup d'efforts ont 'et'e faits pour extraire les contours d'une...

Detection of moving objects: A Level Set Approach (2007)

Nikolaos Paragios, Rachid Deriche

In this paper we present a new approach to deal with the detection of moving objects. The originality of our method is that it uses a level-set formulation scheme, which has been proved to be a very...

de recherche A PDE-based Level-Set Approach for Detection and Tracking of Moving Objects (2007)

Nikolaos Paragios, Nikolaos Paragios, Rachid Deriche, Rachid Deriche, Projet Robotvis

apport

Abstract Tensor Field Visualization with PDE’s and Application to DT-MRI Fiber Visualization (2007)

David Tschumperlé, Rachid Deriche

We propose a PDE-based method to create textured representations of dense tensor-valued fields, for visualization purposes. Within the framework of anisotropic diffusion PDE’s, we focus on the...

images, donnes, connaissances (2007)

Mikal Rousson, Mikal Rousson, Rachid Deriche, Rachid Deriche, Projet Odyssee

apport de recherche

DOCTEUR EN SCIENCES (2007)

E De, Nice-sophia Antipolis, E Des Sciences, Olivier Faugeras, Doina Cioranescu, ...

sp'ecialit'e math'ematiques et applications des math'ematiques Probl`emes variationnels et EDP pour l'analyse d'images et l"evolution de courbes par Luminita...

1 Siemens Corporate Research, (2007)

Camera self-calibration using the Kruppa equations and the SVD of the fundamental matrix: The case of varying intrinsic parameters (2007)

This paper presents a novel variational framework for dealing with frame partition problems in Computer Vision by the propagation of curves. This framework integrates boundary and region-based frame...

Rachid Deriche, Rachid Deriche, Projet Robotvis

apport de recherche

Regularization, Scale Space, and Edge Detectors (2007)

Mads Nielsen, Luc Florack, Rachid Deriche

The purpose of this paper is not to develop new computational theories for regularization nor to construct new algorithms. The main motivation of this work is to try how different theories connect,...

Th#me 3 Interaction homme-machine, (2007)

Javier Snchez, Unit Inria, Sophia Antipolis, Luis Alvarez, Luis Alvarez, Rachid Deriche, ...

apport de recherche

images, données, connaissances (2007)

Rachid Deriche, Javier Sánchez, Joachim Weickert, Luis Alvarez, Luis Alvarez, Rachid Deriche Y, ...

apport de recherche

Th#me 3 Interaction homme-machine, (2007)

Nikos Paragios, Nikos Paragios, Rachid Deriche, Rachid Deriche, Projet Robotvis

apport de recherche

Thme 3 Interaction homme-machine, images, donnes, connaissances (2007)

Unit Inria, Sophia Antipolis, Mikal Rousson, Mikal Rousson, Nikos Paragios, Nikos Paragios, ...

apport de recherche

de recherche Coupled Geodesic Active Regions for Image Segmentation (2007)

Nikos Paragios, Nikos Paragios, Rachid Deriche, Rachid Deriche, Projet Robotvis

apport

images, donnes, connaissances (2007)

Apport De Recherche, Mikal Rousson, Mikal Rousson, Rachid Deriche, Rachid Deriche, Projet Odyssee

During the last few years, many eorts have been done in integrating dierent informations in a variational framework to segment images. Recent works on curve propagation were able to incorporate...

Received??; Revised?? Editors:?? (2007)

Spectral Clustering en IRM de diffusion pour Retrouver les Faisceaux de la Matière Blanche (2007)

Abstract. This article deals with the problem of restoring and motion segmenting noisy image sequences with a static background. Usually, motion segmentation and image restoration are considered...

Wassermann, Demian, Descoteaux, Maxime, Deriche, Rachid

Regrouper en des ensembles cohérents les faisceaux de fibres qui constituent la matière blanche du cerveau est un problème difficile mais de fort intérêt dont la solution peut aider à resoudre...

Spectral Clustering en IRM de diffusion pour Retrouver les Faisceaux de la Matière Blanche (2007)

Wassermann, Demian, Descoteaux, Maxime, Deriche, Rachid

Regrouper en des ensembles cohérents les faisceaux de fibres qui constituent la matière blanche du cerveau est un problème difficile mais de fort intérêt dont la solution peut aider à resoudre...

Towards bridging the Gap between Biological and Computational Image Segmentation (2007)

Kokkinos, Iasonas, Deriche, Rachid, Papadopoulo, Théodore, Faugeras, Olivier, Maragos, Petros

This report presents a joint study of biological and computational vision. First we briefly review the most common models of neurons and neural networks and the function of cells in the V1/V2 areas...

Towards bridging the Gap between Biological and Computational Image Segmentation (2007)

Kokkinos, Iasonas, Deriche, Rachid, Papadopoulo, Théodore, Faugeras, Olivier, Maragos, Petros

This report presents a joint study of biological and computational vision. First we briefly review the most common models of neurons and neural networks and the function of cells in the V1/V2 areas...

Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distribution (2007)

Descoteaux, Maxime, Deriche, Rachid, Anwander, Alfred

We propose a deterministic and a probabilistic extension of classical diffusion tensor imaging (DTI) tractography algorithms based on a sharp fiber orientation distribution function (ODF)...

Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distribution (2007)

Descoteaux, Maxime, Deriche, Rachid, Anwander, Alfred

We propose a deterministic and a probabilistic extension of classical diffusion tensor imaging (DTI) tractography algorithms based on a sharp fiber orientation distribution function (ODF)...

Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distribution (2007)

Descoteaux, Maxime, Deriche, Rachid, Anwander, Alfred

We propose a deterministic and a probabilistic extension of classical diffusion tensor imaging (DTI) tractography algorithms based on a sharp fiber orientation distribution function (ODF)...

Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution (2007)

Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution (2007)

In this article we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmonic (SH) method....

Anatomical connections in the human visual cortex: validation and new insights using a DTI Geodesic Connectivity Mapping method (2007)

In this article we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmonic (SH) method....

Wotawa, Nicolas, Lenglet, Christophe, Prados, Emmanuel, Deriche, Rachid, Faugeras, Olivier

Various approaches have been introduced to infer the organization of white matter connectivity using Diffusion Tensor Imaging (DTI). In this study, we validate a recently introduced geometric...

Anatomical connections in the human visual cortex: validation and new insights using a DTI Geodesic Connectivity Mapping method (2007)

Wotawa, Nicolas, Lenglet, Christophe, Prados, Emmanuel, Deriche, Rachid, Faugeras, Olivier

Various approaches have been introduced to infer the organization of white matter connectivity using Diffusion Tensor Imaging (DTI). In this study, we validate a recently introduced geometric...

Non Rigid Registration of Diffusion Tensor Images (2007)

Faugeras, Olivier, Lenglet, Christophe, Papadopoulo, Théodore, Deriche, Rachid

We propose a novel variational framework for the dense non-rigid registration of Diffusion Tensor Images (DTI). Our approach relies on the differential geometrical properties of the Riemannian...

Non Rigid Registration of Diffusion Tensor Images (2007)

Faugeras, Olivier, Lenglet, Christophe, Papadopoulo, Théodore, Deriche, Rachid

We propose a novel variational framework for the dense non-rigid registration of Diffusion Tensor Images (DTI). Our approach relies on the differential geometrical properties of the Riemannian...

Non Rigid Registration of Diffusion Tensor Images (2007)

Faugeras, Olivier, Lenglet, Christophe, Papadopoulo, Théodore, Deriche, Rachid

We propose a novel variational framework for the dense non-rigid registration of Diffusion Tensor Images (DTI). Our approach relies on the differential geometrical properties of the Riemannian...

Non Rigid Registration of Diffusion Tensor Images (2007)

Faugeras, Olivier, Lenglet, Christophe, Papadopoulo, Théodore, Deriche, Rachid

We propose a novel variational framework for the dense non-rigid registration of Diffusion Tensor Images (DTI). Our approach relies on the differential geometrical properties of the Riemannian...

Anatomical connections in the human visual cortex: validation and new insights using a DTI Geodesic Connectivity Mapping method (2007)

Wotawa, Nicolas, Lenglet, Christophe, Prados, Emmanuel, Deriche, Rachid, Faugeras, Olivier

Various approaches have been introduced to infer the organization of white matter connectivity using Diffusion Tensor Imaging (DTI). In this study, we validate a recently introduced geometric...

Anatomical connections in the human visual cortex: validation and new insights using a DTI Geodesic Connectivity Mapping method (2007)

Wotawa, Nicolas, Lenglet, Christophe, Prados, Emmanuel, Deriche, Rachid, Faugeras, Olivier

Various approaches have been introduced to infer the organization of white matter connectivity using Diffusion Tensor Imaging (DTI). In this study, we validate a recently introduced geometric...

Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution (2007)

Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution (2007)

In this article we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmonic (SH) method....

Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distribution (2007)

In this article we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmonic (SH) method....

Descoteaux, Maxime, Deriche, Rachid, Anwander, Alfred

We propose a deterministic and a probabilistic extension of classical diffusion tensor imaging (DTI) tractography algorithms based on a sharp fiber orientation distribution function (ODF)...

Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distribution (2007)

Descoteaux, Maxime, Deriche, Rachid, Anwander, Alfred

We propose a deterministic and a probabilistic extension of classical diffusion tensor imaging (DTI) tractography algorithms based on a sharp fiber orientation distribution function (ODF)...

Towards bridging the Gap between Biological and Computational Image Segmentation (2007)

Kokkinos, Iasonas, Deriche, Rachid, Papadopoulo, Théodore, Faugeras, Olivier, Maragos, Petros

This report presents a joint study of biological and computational vision. First we briefly review the most common models of neurons and neural networks and the function of cells in the V1/V2 areas...

Towards bridging the Gap between Biological and Computational Image Segmentation (2007)

Kokkinos, Iasonas, Deriche, Rachid, Papadopoulo, Théodore, Faugeras, Olivier, Maragos, Petros

This report presents a joint study of biological and computational vision. First we briefly review the most common models of neurons and neural networks and the function of cells in the V1/V2 areas...

Spectral Clustering en IRM de diffusion pour Retrouver les Faisceaux de la Matière Blanche (2007)

Wassermann, Demian, Descoteaux, Maxime, Deriche, Rachid

White matter fiber clustering allows to get insight about anatomical structures in order to generate atlases, perform clear visualizations and compute statistics across subjects, all important and...

Spectral Clustering en IRM de diffusion pour Retrouver les Faisceaux de la Matière Blanche (2007)

Wassermann, Demian, Descoteaux, Maxime, Deriche, Rachid

White matter fiber clustering allows to get insight about anatomical structures in order to generate atlases, perform clear visualizations and compute statistics across subjects, all important and...

Anisotropic Diffusion Partial Differential Equations for Multichannel Image Regularization : Framework and Applications. (2007)

Anisotropic Diffusion Partial Differential Equations for Multichannel Image Regularization : Framework and Applications. (2007)

We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose of multi-channel image regularization. Such methods have the ability to smooth multi-channel images...

Anisotropic Diffusion Partial Differential Equations in Multi-Channel Image Processing : Framework and Applications. (2007)

We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose of multi-channel image regularization. Such methods have the ability to smooth multi-channel images...

Anisotropic Diffusion Partial Differential Equations in Multi-Channel Image Processing : Framework and Applications. (2007)

We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose of multi-channel image regularization. Such methods have the ability to smooth multi-channel images...

Probabilistic Q-ball tractography solves crossings of callosal fibers (2007)

We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose of multi-channel image regularization. Such methods have the ability to smooth multi-channel images...

Anwander, Alfred, Descoteaux, Maxime, Deriche, Rachid

36

A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape (2007)

Daniel Cremers, Mikael Rousson, Rachid Deriche

Abstract. Since their introduction as a means of front propagation and their first application to edge-based segmentation in the early 90’s, level set methods have become increasingly popular as a...

Deterministic and probabilistic QBall tractography: from diffusion to sharp fiber distributions (2007)

Maxime Descoteaux, Rachid Deriche, Alfred Anw, Thème Bio, Maxime Descoteaux, Rachid Deriche, ...

apport de recherche

DTI Segmentation by Statistical Surface Evolution (2006)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid

We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI produces, from a set of diffusion-weighted MR images, tensor-valued images where...

Control Theory and Fast Marching Methods for Brain Connectivity Mapping (2006)

Prados, Emmanuel, Lenglet, Christophe, Pons, Jean-Philippe, Wotawa, Nicolas, Deriche, Rachid, Faugeras, Olivier, ...

We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magnetic Resonance...

DTI Segmentation by Statistical Surface Evolution (2006)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid

We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI produces, from a set of diffusion-weighted MR images, tensor-valued images where...

Control Theory and Fast Marching Methods for Brain Connectivity Mapping (2006)

Prados, Emmanuel, Lenglet, Christophe, Pons, Jean-Philippe, Wotawa, Nicolas, Deriche, Rachid, Faugeras, Olivier, ...

We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magnetic Resonance...

Apparent Diffusion Coefficients from High Angular Resolution Diffusion Images: Estimation and Applications (2006)

Descoteaux, Maxime, Angelino, Elaine, Fitzgibbons, Shaun, Deriche, Rachid

High angular resolution diffusion imaging (HARDI) has recently been of great interest in characterizing non-Gaussian diffusion processes. In the white matter of the brain, non-Gaussian diffusion...

DTI Segmentation by Statistical Surface Evolution (2006)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid

We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI produces, from a set of diffusion-weighted MR images, tensor-valued images where...

Control Theory and Fast Marching Methods for Brain Connectivity Mapping (2006)

Prados, Emmanuel, Lenglet, Christophe, Pons, Jean-Philippe, Wotawa, Nicolas, Deriche, Rachid, Faugeras, Olivier, ...

We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magnetic Resonance...

Apparent Diffusion Coefficients from High Angular Resolution Diffusion Images: Estimation and Applications (2006)

Descoteaux, Maxime, Angelino, Elaine, Fitzgibbons, Shaun, Deriche, Rachid

High angular resolution diffusion imaging (HARDI) has recently been of great interest in characterizing non-Gaussian diffusion processes. In the white matter of the brain, non-Gaussian diffusion...

Control Theory and Fast Marching Techniques for Brain Connectivity Mapping (2006)

Emmanuel Prados, Christophe Lenglet, Nicolas Wotawa, Rachid Deriche, Olivier Faugeras, Stefano Soatto

We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magnetic Resonance...

Control Theory and Fast Marching Techniques for Brain Connectivity Mapping (2006)

Prados, Emmanuel, Lenglet, Christophe, Pons, Jean-Philippe, Wotawa, Nicolas, Deriche, Rachid, Faugeras, Olivier, ...

We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magnetic Resonance...

Control Theory and Fast Marching Techniques for Brain Connectivity Mapping (2006)

Prados, Emmanuel, Lenglet, Christophe, Pons, Jean-Philippe, Wotawa, Nicolas, Deriche, Rachid, Faugeras, Olivier, ...

We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magnetic Resonance...

A linear and regularized ODF estimation algorithm to recover multiple fibers in Q-Ball imaging (2005)

Descoteaux, Maxime, Angelino, Elaine, Fitzgibbons, Shaun, Deriche, Rachid

Due the well-known limitations of diffusion tensor imaging (DTI), high angular resolution diffusion imaging is currently of great interest to characterize voxels containing multiple fiber crossings....

Apparent Diffusion Coefficients from High Angular Resolution Diffusion Images: Estimation and Applications (2005)

Descoteaux, Maxime, Angelino, Elaine, Fitzgibbons, Shaun, Deriche, Rachid

High angular resolution diffusion imaging (HARDI) has recently been of great interest in characterizing non-Gaussian diffusion processes. In the white matter of the brain, non-Gaussian diffusion...

A linear and regularized ODF estimation algorithm to recover multiple fibers in Q-Ball imaging (2005)

Descoteaux, Maxime, Angelino, Elaine, Fitzgibbons, Shaun, Deriche, Rachid

Due the well-known limitations of diffusion tensor imaging (DTI), high angular resolution diffusion imaging is currently of great interest to characterize voxels containing multiple fiber crossings....

A linear and regularized ODF estimation algorithm to recover multiple fibers in Q-Ball imaging (2005)

Descoteaux, Maxime, Angelino, Elaine, Fitzgibbons, Shaun, Deriche, Rachid

Due the well-known limitations of diffusion tensor imaging (DTI), high angular resolution diffusion imaging is currently of great interest to characterize voxels containing multiple fiber crossings....

Variational Approaches to the Estimation, Regularization and Segmentation of Diffusion Tensor Images (2005)

Deriche, Rachid, Tschumperlé, David, Lenglet, Christophe, Rousson, Mikaël

Diffusion magnetic resonance imaging probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the...

Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications (2005)

Variational Approaches to the Estimation, Regularization and Segmentation of Diffusion Tensor Images (2005)

We are interested in PDE's (Partial Differential Equations) in order to smooth multi-valued images in an anisotropic manner. Starting from a review of existing anisotropic regularization schemes...

Deriche, Rachid, Tschumperlé, David, Lenglet, Christophe, Rousson, Mikaël

Diffusion magnetic resonance imaging probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the...

Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications (2005)

Variational Approaches to the Estimation, Regularization and Segmentation of Diffusion Tensor Images (2005)

We are interested in PDE's (Partial Differential Equations) in order to smooth multi-valued images in an anisotropic manner. Starting from a review of existing anisotropic regularization schemes...

Deriche, Rachid, Tschumperlé, David, Lenglet, Christophe, Rousson, Mikaël

Diffusion magnetic resonance imaging probes and quantifies the anisotropic diffusion of water molecules in biological tissues, make it possible to non-invasively infer the architecture of the...

Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications (2005)

Variational Approaches to the Estimation, Regularization and Segmentation of Diffusion Tensor Images (2005)

In this article, we focus on techniques for vector-valued image regularization, based on variational methods and PDE's. Starting from the study of PDE-based formalisms previously proposed in the...

Deriche, Rachid, Tschumperlé, David, Lenglet, Christophe, Rousson, Mikaël

Diffusion magnetic resonance imaging probes and quantifies the anisotropic diffusion of water molecules in biological tissues, make it possible to non-invasively infer the architecture of the...

Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications (2005)

Geodesic Active Regions and Level Set Methods for Motion Estimation and Tracking (2005)

In this article, we focus on techniques for vector-valued image regularization, based on variational methods and PDE's. Starting from the study of PDE-based formalisms previously proposed in the...

Statistics on Multivariate Normal Distributions: A Geometric Approach and its Application to Diffusion Tensor MRI (2004)

Motion analysis in computer vision is a well-studied problem with numerous applications. In particular, the tasks of optical flow estimation and tracking are of increasing interest. In this paper, we...

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid, Faugeras, Olivier

This report is dedicated to the statistical analysis of the space of multivariate normal probability density functions. It relies on the differential geometrical properties of the underlying...

Toward Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI (2004)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid, Faugeras, Olivier

We propose three original approaches for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical image processing, in...

Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function (2004)

Faugeras, Olivier, Adde, Geoffray, Charpiat, Guillaume, Chefd'Hotel, Christophe, Clerc, Maureen, Deneux, Thomas, ...

We survey the recent activities of the Odyssée Laboratory in the area of the application of mathematics to the design of models for studying brain anatomy and function. We start with the problem of...

RIVAGe Feedback during Visual Integration : towards a Generic Architecture (2004)

Bullier, Jean, Deriche, Rachid, Faugeras, Olivier, Girard, Pascal, Kornprobst, Pierre, Papadopoulo, Théodore, ...

We consider the comparative study of visual process integration within either a biological system (i.e. the parieto-ventral and parieto-dorsal pathways of the cortical visual system in the primate)...

Statistics on Multivariate Normal Distributions: A Geometric Approach and its Application to Diffusion Tensor MRI (2004)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid, Faugeras, Olivier

This report is dedicated to the statistical analysis of the space of multivariate normal probability density functions. It relies on the differential geometrical properties of the underlying...

Toward Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI (2004)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid, Faugeras, Olivier

We propose three original approaches for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical image processing, in...

Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function (2004)

Faugeras, Olivier, Adde, Geoffray, Charpiat, Guillaume, Chefd'Hotel, Christophe, Clerc, Maureen, Deneux, Thomas, ...

We survey the recent activities of the Odyssée Laboratory in the area of the application of mathematics to the design of models for studying brain anatomy and function. We start with the problem of...

RIVAGe Feedback during Visual Integration : towards a Generic Architecture (2004)

Bullier, Jean, Deriche, Rachid, Faugeras, Olivier, Girard, Pascal, Kornprobst, Pierre, Papadopoulo, Théodore, ...

We consider the comparative study of visual process integration within either a biological system (i.e. the parieto-ventral and parieto-dorsal pathways of the cortical visual system in the primate)...

Statistics on Multivariate Normal Distributions: A Geometric Approach and its Application to Diffusion Tensor MRI (2004)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid, Faugeras, Olivier

This report is dedicated to the statistical analysis of the space of multivariate normal probability density functions. It relies on the differential geometrical properties of the underlying...

Toward Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI (2004)

Lenglet, Christophe, Rousson, Mikaël, Deriche, Rachid, Faugeras, Olivier

We propose three original approaches for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical image processing, in...

Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function (2004)

Faugeras, Olivier, Adde, Geoffray, Charpiat, Guillaume, Chefd'Hotel, Christophe, Clerc, Maureen, Deneux, Thomas, ...

We survey the recent activities of the Odyssée Laboratory in the area of the application of mathematics to the design of models for studying brain anatomy and function. We start with the problem of...

Inferring white matter geometry from diffusion tensor MRI: Application to connectivity mapping (2004)

Christophe Lenglet, Rachid Deriche, Olivier Faugeras

Abstract. We introduce a novel approach to the cerebral white matter connectivity mapping from diffusion tensor MRI. DT-MRI is the unique non-invasive technique capable of probing and quantifying the...

A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks (2004)

Iasonas Kokkinos, Rachid Deriche, Petros Maragos, Olivier Faugeras

Abstract. This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...

DT-MRI Estimation, Regularization and Fiber Tractography (2004)

Rachid Deriche, David Tschumperle, Christophe Lenglet

Diffusion tensor MRI probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the underlying...

Implicit Active Shape Models for 3D (2004)

Segmentation In Mr, Mikaël Rousson, Nikos Paragios, Rachid Deriche

Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the structures to be...

Diffusion Tensor Magnetic Resonance Imaging : Brain Connectivity Mapping (2003)

Lenglet, Christophe, Deriche, Rachid, Faugeras, Olivier

Diffusion tensor MRI probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the underlying...

Active Shape Models from a Level Set Perspective (2003)

Rousson, Mikaël, Paragios, Nikos, Deriche, Rachid

Active shape models is a popular technique to object extraction. To this end, one models the geometric form of the object of interest. Object extraction is then equivalent with seeking a...

Sochen, Nir, Deriche, Rachid, Lucero-Lopez, Perez

In many medical computer vision tasks, the relevant data is attached to a specific tissue such as the cortex or the colon. This situation calls for regularization techniques which are defined over...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Brox, Thomas, Rousson, Mikaël, Deriche, Rachid, Weickert, Joachim

In this paper we incorporate different kinds of information, namely colour, texture, and motion, into a segmentation process. The segmentation is based on a variational framework for vector-valued...

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space (2003)

Rousson, Mikaël, Brox, Thomas, Deriche, Rachid

In this report, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based...

Diffusion Tensor Magnetic Resonance Imaging : Brain Connectivity Mapping (2003)

Lenglet, Christophe, Deriche, Rachid, Faugeras, Olivier

Diffusion tensor MRI probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the underlying...

Active Shape Models from a Level Set Perspective (2003)

Rousson, Mikaël, Paragios, Nikos, Deriche, Rachid

Active shape models is a popular technique to object extraction. To this end, one models the geometric form of the object of interest. Object extraction is then equivalent with seeking a...

Sochen, Nir, Deriche, Rachid, Lopez Perez, Lucero

In many medical computer vision tasks, the relevant data is attached to a specific tissue such as the cortex or the colon. This situation calls for regularization techniques which are defined over...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Brox, Thomas, Rousson, Mikaël, Deriche, Rachid, Weickert, Joachim

In this paper we incorporate different kinds of information, namely colour, texture, and motion, into a segmentation process. The segmentation is based on a variational framework for vector-valued...

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space (2003)

Rousson, Mikaël, Brox, Thomas, Deriche, Rachid

In this report, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based...

Diffusion Tensor Magnetic Resonance Imaging : Brain Connectivity Mapping (2003)

Lenglet, Christophe, Deriche, Rachid, Faugeras, Olivier

Diffusion tensor MRI probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the underlying...

Active Shape Models from a Level Set Perspective (2003)

Rousson, Mikaël, Paragios, Nikos, Deriche, Rachid

Active shape models is a popular technique to object extraction. To this end, one models the geometric form of the object of interest. Object extraction is then equivalent with seeking a...

Sochen, Nir, Deriche, Rachid, Lopez Perez, Lucero

In many medical computer vision tasks, the relevant data is attached to a specific tissue such as the cortex or the colon. This situation calls for regularization techniques which are defined over...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Brox, Thomas, Rousson, Mikaël, Deriche, Rachid, Weickert, Joachim

In this paper we incorporate different kinds of information, namely colour, texture, and motion, into a segmentation process. The segmentation is based on a variational framework for vector-valued...

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space (2003)

Rousson, Mikaël, Brox, Thomas, Deriche, Rachid

In this report, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based...

Active unsupervised texture segmentation on a diffusion based feature space (2003)

Mikal Rousson, Mikal Rousson, Thomas Brox, Thomas Brox, Rachid Deriche, Rachid Deriche, ...

apport de recherche

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert

In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pre-segmentation step based on...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Thomas Brox, Thomas Brox, Mikaël Rousson, Mikaël Rousson, Rachid Deriche, Rachid Deriche, ...

In this paper we incorporate different kinds of information, namely colour, texture, and motion, into a segmentation process. The segmentation is based on a variational framework for vector-valued...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Thomas Brox, Thomas Brox, Mikaël Rousson, Mikaël Rousson, Rachid Deriche, Rachid Deriche, ...

In this paper we incorporate different kinds of information, namely colour, texture, and motion, into a segmentation process. The segmentation is based on a variational framework for vector-valued...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Thomas Brox, Mikael Rousson, Rachid Deriche, Joachim Weickert, Thomas Brox, Mikaël Rousson, ...

In this paper we incorporate different kinds of information, namely colour, texture, and motion, into a segmentation process. The segmentation is based on a variational framework for vector-valued...

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space (2003)

Mikaël Rousson, Mikal Rousson, Thomas Brox, Thomas Brox, Rachid Deriche, Rachid Deriche, ...

In this report, we propose a novel and ecient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based on...

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space (2003)

Mikaël Rousson, Thomas Brox, Rachid Deriche

In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based...

Unsupervised Segmentation Incorporating Colour, Texture, and Motion (2003)

Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert

In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pre-segmentation step based on...

Vector-Valued Image Regularization with PDE's :A Common Framework for Different Applications (2002)

Lucero-lopez Perez, Unit Inria, Sophia Antipolis, Nir Sochen, Nir Sochen, Rachid Deriche, ...

In many medical computer vision tasks, the relevant data is attached to a specic tissue such as the cortex or the colon. This situation calls for regularization techniques which are dened over non at...

A Variational Framework for Active and Adaptative Segmentation of Vector Valued Images (2002)

This report addresses the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing global and local formalisms, we propose a new framework that...

Rousson, Mikaël, Deriche, Rachid

During the last few years, many efforts have been done in integrating different informations in a variational framework to segment images. Recent works on curve propagation were able to incorporate...

Vector-Valued Image Regularization with PDE's :A Common Framework for Different Applications (2002)

A Variational Framework for Active and Adaptative Segmentation of Vector Valued Images (2002)

This report addresses the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing global and local formalisms, we propose a new framework that...

Rousson, Mikaël, Deriche, Rachid

During the last few years, many efforts have been done in integrating different informations in a variational framework to segment images. Recent works on curve propagation were able to incorporate...

Vector-Valued Image Regularization with PDE's :A Common Framework for Different Applications (2002)

A Variational Framework for Active and Adaptative Segmentation of Vector Valued Images (2002)

This report addresses the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing global and local formalisms, we propose a new framework that...

Rousson, Mikaël, Deriche, Rachid

During the last few years, many efforts have been done in integrating different informations in a variational framework to segment images. Recent works on curve propagation were able to incorporate...

Orthonormal Vector Sets Regularization with PDE's and Applications (2002)

David Tschumperle, Rachid Deriche, Odyssee Lab

We are interested in regularizing fields of orthonormal vector sets, using constraint-preserving anisotropic diffusion PDE's. Each point of such a field is defined by multiple orthogonal and...

A Variational Framework for Active and Adaptative Segmentation of Vector Valued Images (2002)

M. Rousson, R. Deriche, Mikal Rousson, Rachid Deriche, Projet Odyssee

this paper an entirely variational framework to approach the segmentation problem. Both, the image partition and the statistical parameters for each region are unkown

Vector-Valued Image Regularization with PDE's: A Common Framework for . . . (2002)

David Tschumperle, Rachid Deriche, Projet Odyssee

This report addresses the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing global and local formalisms, we propose a new framework...

Geodesic Active Regions and Level Set Methods (2002)

For Supervised Texture, Nikos Paragios, Rachid Deriche

This paper presents a novel variational framework to deal with frame partition problems in Computer Vision. This framework exploits boundary and region-based segmentation modules under a curve-based...

Symmetrical Dense Optical Flow Estimation with Occlusion Detection (2002)

Luis Alvarez, Rachid Deriche, Théo Papadopoulo, Javier Sanchez

Traditional techniques of dense optical flowestimation don't generally yield symmetrical solutions: the results will di#er if they are applied between images I1 and I2 or between images I2 and...

Geodesic Active Regions: A new framework to deal with frame partition problems in Computer Vision (2002)

Diffusion Tensor Regularization with Constraints Preservation (2001)

This paper presents a novel variational framework for dealing with frame partition problems in Computer Vision by the propagation of curves. This framework integrates boundary and region-based frame...

David Tschumperlé, Rachid Deriche, R. Deriche

This paper deals with the problem of regularizing noisy fields of diffusion tensors, considered as symmetric and semi-positive definite n n matrices (as for instance 2D structure tensors or DT-MRI...

Camera Self-Calibration Using the Kruppa Equations and the SVD of the Fundamental Matrix: The Case of Varying Intrinsic Parameters (2000)

Dense Disparity Map Estimation Respecting Image Discontinuities : A PDE and Scale-Space Based Approach (2000)

Estimation of the camera intrinsic calibration parameters is a prerequisite to a wide variety of vision tasks related to motion and stereo analysis. A major breakthrough related to the intrinsic...

Alvarez, Luis, Deriche, Rachid, Sánchez, Javier, Weickert, Joachim

We present an energy based approach to estimate a dense disparity map between two images while preserving its discontinuities resulting from image boundaries. We first derive a simplified expression...

Camera Self-Calibration Using the Kruppa Equations and the SVD of the Fundamental Matrix: The Case of Varying Intrinsic Parameters (2000)

Dense Disparity Map Estimation Respecting Image Discontinuities : A PDE and Scale-Space Based Approach (2000)

Estimation of the camera intrinsic calibration parameters is a prerequisite to a wide variety of vision tasks related to motion and stereo analysis. A major breakthrough related to the intrinsic...

Alvarez, Luis, Deriche, Rachid, Sánchez, Javier, Weickert, Joachim

We present an energy based approach to estimate a dense disparity map between two images while preserving its discontinuities resulting from image boundaries. We first derive a simplified expression...

Camera Self-Calibration Using the Kruppa Equations and the SVD of the Fundamental Matrix: The Case of Varying Intrinsic Parameters (2000)

Dense Disparity Map Estimation Respecting Image Discontinuities : A PDE and Scale-Space Based Approach (2000)

Estimation of the camera intrinsic calibration parameters is a prerequisite to a wide variety of vision tasks related to motion and stereo analysis. A major breakthrough related to the intrinsic...

Alvarez, Luis, Deriche, Rachid, Sánchez, Javier, Weickert, Joachim

We present an energy based approach to estimate a dense disparity map between two images while preserving its discontinuities resulting from image boundaries. We first derive a simplified expression...

Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects (2000)

Dense Disparity Map Estimation Respecting Image Discontinuities: a PDE and Scale-Space Based Approach (2000)

AbstractÐThis paper presents a new variational framework for detecting and tracking multiple moving objects in image sequences. Motion detection is performed using a statistical framework for which...

Javier Snchez, Unit Inria, Sophia Antipolis, Luis Alvarez, Luis Alvarez, Rachid Deriche, ...

apport de recherche

Coupled geodesic active regions for image segmentation: A level set approach (2000)

Recursivity and PDE's in image processing (2000)

Abstract. This paper presents a novel variational method for image segmentation that unifies boundary and region-based information sources under the Geodesic Active Region framework. A statistical...

Luis Alvarez, Rachid Deriche, Francisco Santana

Recursive filtering structures reduce drastically the computational effort required for different tasks in image processing. These operations are done with a fixed number of operations per output...

Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects (2000)

Coupled Geodesic Active Regions for Image Segmentation (1999)

This paper presents a new variational framework for detecting and tracking multiple moving objects in image sequences. Motion detection is performed using a statistical framework for which the...

Camera Self-Calibration Using the Singular Value Decomposition of the Fundamental Matrix: From Point Correspondences to 3D Measurements (1999)

This paper presents a novel variational method for image segmentation which is obtained by unifying boundary and region-based information sources under the Geodesic Active Region framework. A...

Geodesic Active Regions for Motion Estimation and Tracking (1999)

This paper deals with a fundamental problem in motion and stereo analysis, namely that of determining the camera intrinsic calibration parameters. A novel method is proposed that follows the...

Coupled Geodesic Active Regions for Image Segmentation (1999)

This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a Geodesic Active Region model...

Camera Self-Calibration Using the Singular Value Decomposition of the Fundamental Matrix: From Point Correspondences to 3D Measurements (1999)

This paper presents a novel variational method for image segmentation which is obtained by unifying boundary and region-based information sources under the Geodesic Active Region framework. A...

The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case (1999)

This paper deals with a fundamental problem in motion and stereo analysis, namely that of determining the camera intrinsic calibration parameters. A novel method is proposed that follows the...

Faugeras, Olivier, Clément, François, Deriche, Rachid, Keriven, Renaud, Papadopoulo, Théodore, Roberts, Jean E., ...

In this report, we study the problem of the three-dimensional reconstruction of the electrical activity of the brain from electroencephalography (EEG) and magnetoencephalography (MEG). We use a...

Geodesic Active Regions for Motion Estimation and Tracking (1999)

Coupled Geodesic Active Regions for Image Segmentation (1999)

This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a Geodesic Active Region model...

Camera Self-Calibration Using the Singular Value Decomposition of the Fundamental Matrix: From Point Correspondences to 3D Measurements (1999)

This paper presents a novel variational method for image segmentation which is obtained by unifying boundary and region-based information sources under the Geodesic Active Region framework. A...

The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case (1999)

This paper deals with a fundamental problem in motion and stereo analysis, namely that of determining the camera intrinsic calibration parameters. A novel method is proposed that follows the...

Faugeras, Olivier, Clément, François, Deriche, Rachid, Keriven, Renaud, Papadopoulo, Théodore, Roberts, Jean E., ...

In this report, we study the problem of the three-dimensional reconstruction of the electrical activity of the brain from electroencephalography (EEG) and magnetoencephalography (MEG). We use a...

Geodesic Active Regions for Motion Estimation and Tracking (1999)

Geodesic active regions for supervised texture segmentation (1999)

This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a Geodesic Active Region model...

Nikos Paragios, Rachid Deriche, Sophia Antipolis Cedex

This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic and anisotropic...

Geodesic active regions for tracking (1999)

Camera Self-Calibration Using the Singular Value Decomposition of the Fundamental Matrix (1999)

Abstract. In this paper we propose some new ideas for tracking multiple moving objects by the propagation of curves. We assume a static observer, as well as the existence of a background reference...

Rachid Deriche, Rachid Deriche, Projet Robotvis

apport de recherche

Unifying boundary and region-based information for geodesic active tracking (1999)

Camera Self-Calibration Using the Singular Value Decomposition of the Fundamental Matrix (1999)

This paper addresses the problem of tracking several non-rigid objects over a sequence of frames acquired from a static observer using boundary and region-based information under a coupled geodesic...

Rachid Deriche

This paper deals with a fundamental problem in motion and stereo analysis, namely that of determining the camera intrinsic calibration parameters. A novel method is proposed that follows the...

Geodesic Active Contours for Supervised Texture Segmentation (1999)

Geodesic Active Regions for Motion Estimation and Tracking (1999)

This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture pattern is known...

Geodesic Active Regions for Motion Estimation and Tracking (1999)

This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a Geodesic Active Region model...

Nikos Paragios, Nikos Paragios, Rachid Deriche, Rachid Deriche, Projet Robotvis

This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a Geodesic Active Region model...

Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach (1999)

Geodesic Active Regions for Texture Segmentation (1998)

This paper presents a novel variational method for image segmentation that unifies boundary and region-based information sources under the Geodesic Active Region framework. A statistical analysis...

Geodesic Active Regions for Texture Segmentation (1998)

This paper proposes a framework for segmenting different textured areas over synthetic or real textured frames by curves propagation. We assume that the system has the ability to be taught over...

Geodesic Active Regions for Texture Segmentation (1998)

This paper proposes a framework for segmenting different textured areas over synthetic or real textured frames by curves propagation. We assume that the system has the ability to be taught over...

A PDE-based Level-Set Approach for Detection and Tracking of Moving Objects (1998)

This paper proposes a framework for segmenting different textured areas over synthetic or real textured frames by curves propagation. We assume that the system has the ability to be taught over...

Nikos K. Paragios, Rachid Deriche

This papers presents a framework for detecting and tracking moving objects in a sequence of images. Using a statistical approach, where the inter-frame difference is modeled by a mixture of two...

Geodesic Active Regions for Texture Segmentation (1998)

Apport De Recherche, Nikos Paragios, Nikos Paragios, Rachid Deriche, Rachid Deriche, Projet Robotvis

This paper proposes a framework for segmenting di#erent textured areas over synthetic or real textured frames by curves propagation. We assume that the system has the ability to be taughtover...

Front Propagation and Level-Set Approach For Geodesic Active Stereovision (1998)

Rachid Deriche, Christophe Bouvin, Olivier Faugeras

A framework for matching complex 2D planar curves lying at the intersection of a 3D virtual plane and the 3D scene being observed using a weakly calibrated stereo system, is presented in this...

Front Propagation and Level-Set Approach For Geodesic Active Stereovision (1998)

Rachid Deriche, Christophe Bouvin, Olivier Faugeras

Given a weakly calibrated stereo system and a virtual 3D surveillance plane specified by any 3 points given by an external operator, we describe a framework for matching complex 2D planar curves...

Sur quelques schémas numériques de résolution d'équations aux dérivées partielles pour le traitement d'images (1997)

Lucido, Laurence, Deriche, Rachid, Alvarez, Luis, Rigaud, Vincent

Plusieurs méthodes faisant appel à l'utilisation d'Equations aux Dérivées Partielles (EDP) sont apparues récemment dans la littérature des domaines liés au traitement des images et de la...

A PDE-based Level-Set Approach for Detection and Tracking of Moving Objects (1997)

Paragios, Nikolaos, Deriche, Rachid

This papers presents a framework for detecting and tracking moving objects in a sequence of images. Using a statistical approach, where the {\sl inter-frame} difference is modeled by a mixture of two...

Sur quelques schémas numériques de résolution d'équations aux dérivées partielles pour le traitement d'images (1997)

Lucido, Laurence, Deriche, Rachid, Alvarez, Luis, Rigaud, Vincent

Plusieurs méthodes faisant appel à l'utilisation d'Equations aux Dérivées Partielles (EDP) sont apparues récemment dans la littérature des domaines liés au traitement des images et de la...

A PDE-based Level-Set Approach for Detection and Tracking of Moving Objects (1997)

Paragios, Nikolaos, Deriche, Rachid

This papers presents a framework for detecting and tracking moving objects in a sequence of images. Using a statistical approach, where the {\sl inter-frame} difference is modeled by a mixture of two...

Sur quelques schémas numériques de résolution d'équations aux dérivées partielles pour le traitement d'images (1997)

Lucido, Laurence, Deriche, Rachid, Alvarez, Luis, Rigaud, Vincent

Plusieurs méthodes faisant appel à l'utilisation d'Equations aux Dérivées Partielles (EDP) sont apparues récemment dans la littérature des domaines liés au traitement des images et de la...

A PDE-based Level-Set Approach for Detection and Tracking of Moving Objects (1997)

Paragios, Nikolaos, Deriche, Rachid

This papers presents a framework for detecting and tracking moving objects in a sequence of images. Using a statistical approach, where the {\sl inter-frame} difference is modeled by a mixture of two...

Detecting multiple moving targets using deformable contours (1997)

Nikolaos Paragios, Rachid Deriche

This papers presents a framework for detecting multiple moving moving objects in a sequence of images. Using a statistical approach, where the inter-frame difference is modeled by a mixture of two...

Regularization, scale-space, and edge detection filters (1997)

Mads Nielsen, Luc Florack, Rachid Deriche

Abstract. Computational vision often needs to deal with derivatives of digital images. Such derivatives are not intrinsic properties of digital data; a paradigm is required to make them well-defined....

An Effective Technique for Calibrating a Binocular Stereo through Projective Reconstruction Using Both a Calibration Object and the Environment (1997)

Zhengyou Zhang, Olivier Faugeras, Rachid Deriche

this article has been developed as part of a perception system for applications of planetary intervention, although the technique itself can be used in other applications. A correlationbased...

A PDE-based Level-Set Approach for Detection and Tracking of Moving Objects (1997)

Nikolaos Paragios, Nikolaos Paragios, Rachid Deriche, Rachid Deriche, Projet Robotvis

This papers presents a framework for detecting and tracking moving objects in a sequence of images. Using a statistical approach, where the inter-frame dioeerence is modeled by a mixture of two...

Nonlinear Operators in Image Restoration (1997)

Image Sequence Restoration: A PDE Based Coupled Method for Image Restoration and Motion Segmentation (1997)

We firstly present a variational approach such that during image restoration, edges detected in the original image are being preserved, and then we compare in a second part, the mathematical...

Image restoration via PDE's (1996)

This article deals with the problem of noisy sequences of images with a static background. The problems are: the segmentation and the restoration. Usually, motion segmentation and image restoration...

Image restoration via PDE's (1996)

A large number of algorithms based on Partial Dioeerential Equations (PDE) have recently been proposed to tackle the problems of noise removal, image enhancement and image restoration in real images....

Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities (1996)

A large number of algorithms based on Partial Dioeerential Equations (PDE) have recently been proposed to tackle the problems of noise removal, image enhancement and image restoration in real images....

Luc Robert, Rachid DERICHE

We present a variational approach to dense stereo reconstruction which combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a number of stereo...

Les EDP en traitement des images et vision par ordinateur (1995)

Deriche, Rachid, Faugeras, Olivier

On assiste depuis quelques temps à un regain d'intérêt pour un certain nombre de problèmes liés au domaine du traitement des images et ceci pour plusieurs raisons dont principalement une demande...

Les EDP en traitement des images et vision par ordinateur (1995)

Deriche, Rachid, Faugeras, Olivier

On assiste depuis quelques temps à un regain d'intérêt pour un certain nombre de problèmes liés au domaine du traitement des images et ceci pour plusieurs raisons dont principalement une demande...

Les EDP en traitement des images et vision par ordinateur (1995)

Deriche, Rachid, Faugeras, Olivier

On assiste depuis quelques temps à un regain d'intérêt pour un certain nombre de problèmes liés au domaine du traitement des images et ceci pour plusieurs raisons dont principalement une demande...

Binocular dense depth reconstruction using isotropy constraint, G. Borgefors (Ed.), Theory and applications of image processing (1995)

Mads Nielsen, Rachid Deriche

From two calibrated perspective views of a scene we make a direct metric reconstruction. From assumptions of translational, rotational, and scale invariance of 3D space and camera models we deduce...

Region Tracking Through Image Sequences (1995)

Benedicte Bascle, Benedicte Bascle, Rachid Deriche, Rachid Deriche, Projet Robotvis

: This paper describes a new approach to the tracking of complex shapes through image sequences, that combines deformable region models and deformable contours. A new deformable region model is...

Optical-Flow Estimation while Preserving its Discontinuities: A Variational Approach (1995)

Rachid Deriche, Pierre Kornprobst, Gilles Aubert

This paper describes a variational approach devised for the purpose of estimating optical flow from a sequence of images with the constraint to preserve the flow discontinuities. This problem is set...

Calibrating A Binocular Stereo Through Projective Reconstruction Using Both A Calibration Object And The Environment (1995)

Zhengyou Zhang, Olivier Faugeras, Rachid Deriche

We present a novel technique for calibrating a binocular stereo rig by using the information from both scenes and classical calibration objects. The calibration provided by the calssical methods is...

A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry (1995)

Zhengyou Zhang, Zhengyou Zhang, Rachid Deriche, Rachid Deriche, Olivier Faugeras, Olivier Faugeras, ...

Robotique, image et vision apport de recherche

Region tracking through image sequences (1994)

Bascle, Bénédicte, Deriche, Rachid

This paper describes a new approach to the tracking of complex shapes through image sequences, that combines deformable region models and deformable contours. A new deformable region model is...

A Model Based Method for Characterization and Location of Curved Image Features (1994)

Recovering and Characterizing Image Features Using An Efficient Model Based Approach (1994)

This report deals with the development of a parametric model based method to locate and characterize precisely important curved features such as ellipses and B-splines based curves. The method uses...

Crest lines extraction in volume 3D medical images : a multi-scale approach (1994)

Edges, corners and vertices are strong and useful features i computer vision. This paper deals with the development of an efficient mode based approach in order to detect and characterize precisely...

Monga, Olivier, Lengagne, Richard, Deriche, Rachid

Recently, we have shown that the differential properties of the surfaces represented by 3D volumic images can be recovered using their partial derivatives. For instance, the crest lines can be...

Nielsen, Mads, Florack, Luc, Deriche, Rachid

Computational vision often needs to deal with derivatives of digital images. Derivatives are not intrinsic properties of a digital image; a paradigm is required to make them well-defined. Normally, a...

Tracking complex primitives in an image sequence (1994)

Bascle, Bénédicte, Deriche, Rachid, Meyer, François, Bouthemy, Patrick

Disponible dans les fichiers attachés à ce document

Region tracking through image sequences (1994)

Bascle, Bénédicte, Deriche, Rachid

This paper describes a new approach to the tracking of complex shapes through image sequences, that combines deformable region models and deformable contours. A new deformable region model is...

A Model Based Method for Characterization and Location of Curved Image Features (1994)

Recovering and Characterizing Image Features Using An Efficient Model Based Approach (1994)

This report deals with the development of a parametric model based method to locate and characterize precisely important curved features such as ellipses and B-splines based curves. The method uses...

Crest lines extraction in volume 3D medical images : a multi-scale approach (1994)

Edges, corners and vertices are strong and useful features i computer vision. This paper deals with the development of an efficient mode based approach in order to detect and characterize precisely...

Monga, Olivier, Lengagne, Richard, Deriche, Rachid

Recently, we have shown that the differential properties of the surfaces represented by 3D volumic images can be recovered using their partial derivatives. For instance, the crest lines can be...

Nielsen, Mads, Florack, Luc, Deriche, Rachid

Computational vision often needs to deal with derivatives of digital images. Derivatives are not intrinsic properties of a digital image; a paradigm is required to make them well-defined. Normally, a...

A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry (1994)

Zhang, Zhengyou, Deriche, Rachid, Faugeras, Olivier, Luong, Quang-Tuan

Disponible dans les fichiers attachés à ce document

Tracking complex primitives in an image sequence (1994)

Bascle, Bénédicte, Deriche, Rachid, Meyer, François, Bouthemy, Patrick

Disponible dans les fichiers attachés à ce document

Region tracking through image sequences (1994)

Bascle, Bénédicte, Deriche, Rachid

This paper describes a new approach to the tracking of complex shapes through image sequences, that combines deformable region models and deformable contours. A new deformable region model is...

A Model Based Method for Characterization and Location of Curved Image Features (1994)

Recovering and Characterizing Image Features Using An Efficient Model Based Approach (1994)

This report deals with the development of a parametric model based method to locate and characterize precisely important curved features such as ellipses and B-splines based curves. The method uses...

Crest lines extraction in volume 3D medical images : a multi-scale approach (1994)

Edges, corners and vertices are strong and useful features i computer vision. This paper deals with the development of an efficient mode based approach in order to detect and characterize precisely...

Monga, Olivier, Lengagne, Richard, Deriche, Rachid

Recently, we have shown that the differential properties of the surfaces represented by 3D volumic images can be recovered using their partial derivatives. For instance, the crest lines can be...

Nielsen, Mads, Florack, Luc, Deriche, Rachid

Computational vision often needs to deal with derivatives of digital images. Derivatives are not intrinsic properties of a digital image; a paradigm is required to make them well-defined. Normally, a...

A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry (1994)

Zhang, Zhengyou, Deriche, Rachid, Faugeras, Olivier, Luong, Quang-Tuan

Disponible dans les fichiers attachés à ce document

Crest lines extraction in volume 3D medical images: a multi-scale approach (1994)

Olivier Monga, Richard Lengagne, Rachid DERICHE, Programme Robotique, Projet Syntim

: Recently, we have shown that the differential properties of the surfaces represented by 3D volumic images can be recovered using their partial derivatives. For instance, the crest lines can be...

Tracking Complex Primitives in an Image Sequence (1994)

Benedicte Bascle, Patrick Bouthemy, Rachid Deriche, Francois Meyer

This paper describes a new approach to track complex primitives along image sequences - integrating snake-based contour tracking and region-based motion analysis. First, a snake tracks the region...