Faugeras, O.D.
* 1978: Development and Evaluation of Stochastic-Based Visual Textures Features
* 1978: Texture Analysis and Classification Using a Human Visual Model
* 1978: Visual Discrimination of Stochastic Texture Fields
* 1979: Digital Color Image Processing within the Framework of a Human Visual Model
* 1979: Scene Labeling: An Optimization Approach
* 1980: Algebraic Reconstruction Techniques for Texture Synthesis
* 1980: Autoregressive Modeling with Conditional Expectations for Texture Synthesis
* 1980: Decorrelation Methods of Texture Feature Extraction
* 1980: Optimization Approach for Using Contextual Information in Computer Vision, An
* 1980: Scene Labeling: An Optimization Approach
* 1980: Semantic Description of Aerial Images Using Stochastic Labeling
* 1980: Semantic Description of Aerial Images Using Stochastic Labeling
* 1980: Using Context in the Global Recognition of a Set of Objects: An Optimization Approach
* 1981: Applications of Stochastic Texture Field Models to Image Processing
* 1981: Decomposition and Decentralization Techniques in Relaxation Labeling
* 1981: Improving Consistency and Reducing Ambiguity in Stochastic Labeling: An Optimization Approach
* 1981: Recognition of Occluded Two Dimensional Objects
* 1981: Semantic Description of Aerial Images Using Stochastic Labeling
* 1981: Triangulation of 3-D Objects
* 1982: Polyhedral Approximation of 3-D Objects Without Holes
* 1982: Relaxation Labeling and Evidence Gathering
* 1982: Relaxation Labeling and Evidence Gathering
* 1982: Segmentation of Images Having Unimodal Distributions
* 1982: Segmentation of Images Having Unimodal Distributions
* 1982: Sequential Convolution Techniques for Image Filtering
* 1983: 3-D Recognition and Positing Algorithm Using Geometrical Matching Between Primitive Surfaces, A
* 1983: Measuring the Shape of 3-D Objects
* 1983: Model Based Vision System to Identify and Locate Partially Visible Industrial Parts, A
* 1983: Prism Trees: A Hierarchical Representation for 3-D Objects
* 1983: Recognition of Occluded Objects
* 1983: Segmentation of Range Data into Planar and Quadratic Patches
* 1984: Geometric Matcher for Recognizing and Positioning 3-D Rigid Objects, A
* 1984: New Method for the Recognition and Positioning of 2-D Objects, A
* 1984: New Steps Toward a Flexible 3-D Vision System for Robotics
* 1984: Object Representation, Identification, and Positioning from Range Data
* 1984: Polyhedral Approximation of 3-D Objects Without Holes
* 1984: Shape Matching of Two-Dimensional Objects
* 1985: Computer Vision for Robots
* 1985: Matching Depth Maps Obtained by Passive Stereo
* 1986: Building Visual Maps by Combining Noisy Stereo Measurements
* 1986: Calibration Problem for Stereo, The
* 1986: HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
* 1986: Identifying Planes for the Construction of the World Model of a Mobile Robot
* 1986: Representation, Recognition, and Locating of 3-D Objects, The
* 1986: Representation, Recognition, and Positioning of 3-D Shapes from Range Data, The
* 1987: Building a Consistent 3D Representation of a Mobile Robot Environment by Combining Multiple Stereo Views
* 1987: Building, Registering, and Fusing Noisy Visual Maps
* 1987: Motion and Structure from Motion from Point and Line Matches
* 1987: Object Centered Hierarchial Representation for 3D Objects: The Prism Tree, An
* 1987: Representation, Recognition, and Positioning of 3-D Shapes from Range Data, The
* 1988: Analysis of a Sequence of Stereo Scenes Containing Multiple Moving Objects Using Rigidity Constraints
* 1988: Building, Registering, and Fusing Noisy Visual Maps
* 1988: Counting Straight Lines
* 1988: Determination of Camera Location from 2-D to 3-D Line and Point Correspondences
* 1988: How the Delaunay Triangulation Can Be Used for Representing Stereo Data
* 1988: Motion and Structure from Motion in a Piecewise Planar Environment
* 1988: Preliminary Investigation of the Problem of Determining Ego- and Object Motions from Stereo, A
* 1989: Calibration of a Mobile Robot with Application to Visual Navigation
* 1989: Counting Straight Lines
* 1989: Few Steps Toward Artificial 3-D Vision, A
* 1989: Maintaining Representations of the Environment of a Mobile Robot
* 1989: Motion from Point Matches: Multiplicity of Solutions
* 1989: Some Properties of the E Matrix in Two-View Motion Estimation
* 1989: Using Occluding Contours for Recovering Shape Properties of Objects
* 1990: 2-D Curve Matching Using High Curvature Points: Application to Stereo Vision
* 1990: Building a 3D World Model with a Mobile Robot: 3D Line Segment Representation and Integration
* 1990: Determination of Camera Location from 2-D to 3-D Line and Point Correspondences
* 1990: Determining Motion from 3D Line Segment Matches: A Comparative Study
* 1990: Feed-Forward Recovery of Motion and Structure from a Series of 2D-Lines Matches
* 1990: Motion from Point Matches: Multiplicity of Solutions
* 1990: On the Motion of 3D Curves and Its Relationship to Optical Flow
* 1990: On the Motion of 3D Curves and Its Relationship to Optical Flow
* 1990: Recovering 3D Motion and Structure from Stereo and 2D Token Tracking Cooperation
* 1990: Representing Stereo Data with the Delaunay Triangulation
* 1990: Tracking and Grouping 3D Line Segments
* 1990: Tracking Line Segments
* 1990: Tracking Line Segments
* 1991: Curve-Based Stereo: Figural Continuity and Curvature
* 1991: Determining Motion from 3D Line Segment Matches: A Comparative Study
* 1991: Why Aspect Graphs Are Not (Yet) Practical for Computer Vision
* 1992: 3-D World Model Builder with a Mobile Robot, A
* 1992: 3D Dynamic Scene Analysis: A Stereo Based Approach
* 1992: Camera Self-Calibration: Theory and Experiments
* 1992: Depth And Motion Analysis Machine, The
* 1992: Estimation of Displacements from Two 3-D Frames Obtained from Stereo
* 1992: Finding clusters and planes from 3D line segments with application to 3D motion determination
* 1992: From Partial Derivatives of 3D Density Images to Ridge Lines
* 1992: Obstacle Avoidance and Trajectory Planning for an Indoor Mobile Robot Using Stereo Vision and Delaunay Triangulation
* 1992: Robust and fast computation of unbiased intensity derivatives in images
* 1992: Self-Calibration of a Camera Using Multiple Images
* 1992: Theory of Self-Calibration of a Moving Camera, A
* 1992: Three-Dimensional Motion Computation and Object Segmentation in a Long Sequence of Stereo Frames
* 1992: Using Extremal Boundaries for 3-D Object Modeling
* 1992: What Can Be Seen in Three Dimensions with an Uncalibrated Stereo Rig?
* 1992: Why Aspect Graphs Are Not (Yet) Practical for Computer Vision
* 1993: Applications of Non-Metric Vision to Some Visually-Guided Robotics Tasks
* 1993: Computer vision research at INRIA
* 1993: Critical Sets of Lines for Camera Displacement Estimation: A Mixed Euclidean-Projective and Constructive Approach, The
* 1993: Determining the Fundamental Matrix with Planes: Instability and New Algorithms
* 1993: Monocular Pose Determination from Lines: Critical Sets and Maximum Number of Solutions
* 1993: On Determining the Fundamental Matrix: Analysis of Different Methods and Experimental Results
* 1993: Relative 3D Positioning and 3D Convex Hull Computations from a Weakly Calibrated Stereo Pair
* 1993: Theory of the Motion Fields of Curves, A
* 1993: Three-Dimensional Computer Vision: A Geometric Viewpoint
* 1994: 3-D Scene Representation as a Collection of Images
* 1994: 3-D Scene Representation as a Collection of Images and Fundamental Matrices
* 1994: Applications of non-metric vision to some visual guided tasks
* 1994: Computing Differential Properties of 3D Shapes from Stereoscopic Images without 3D Models
* 1994: Computing Differential Properties of 3D Shapes from Stereoscopic Images without 3D Models
* 1994: Estimation of the Second Order Spatio-Temporal Derivatives of Deforming Image Curves
* 1994: Finding Planes and Clusters of Objects from 3D Line Segments with Application to 3D Motion Determination
* 1994: Motion Field of Curves: Applications
* 1994: Motion of an Uncalibrated Stereo Rig: Self-Calibration and Metric Reconstruction
* 1994: On the Direct Determination of Epipoles: A Case Study in Algebraic Methods For Geometric Problems
* 1994: Optimization Framework for Efficient Self-Calibration and Motion Determination, An
* 1994: Robust and Fast Computation of Edge Characteristics in Image Sequences
* 1994: Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig
* 1994: Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry, A
* 1994: Self-Calibration of an Uncalibrated Stereo Rig from One Unknown Motion
* 1994: Stability Analysis of the Fundamental Matrix, A
* 1994: What Can Two Images Tell Us about a Third One?
* 1995: 3-D Reconstructions of Urban Scenes from Sequence of Images
* 1995: 3-D Reconstructions of Urban Scenes from Sequence of Images
* 1995: About the Correspondence of Points Between N Images
* 1995: Applications of Non-Metric Vision to Some Visually-Guided Robotics Tasks
* 1995: Automatic Calibration and Removal of Distortion from Scenes of Structured Environments
* 1995: Building Three-Dimensional Object Models from Image Sequences
* 1995: Comparison of Projective Reconstruction Methods for Pairs of Views, A
* 1995: Motion Analysis with a Camera with Unknown, and Possibly Varying Intrinsic Parameters
* 1995: On the Geometry and Algebra of the Point and Line Correspondences between N Images
* 1995: On the Geometry and Algebra of the Point and Line Correspondences between N Images
* 1995: Relative 3D Positioning and 3D Convex-Hull Computation from a Weakly Calibrated Stereo Pair
* 1995: Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry, A
* 1995: Some recent results on the projective evolution of 2-D curves
* 1995: Stratification of 3-Dimensional Vision: Projective, Affine, and Metric Representations
* 1996: Computing Structure and Motion of General 3D Curves from Monocular Sequences of Perspective Images
* 1996: First-Order Expansion of Motion Equations in the Uncalibrated Case, The
* 1996: From Projective to Euclidean Reconstruction
* 1996: Fundamental Matrix: Theory, Algorithms, and Stability Analysis, The
* 1996: Motion of an Uncalibrated Stereo Rig: Self-Calibration and Metric Reconstruction
* 1996: Motion Of Points And Lines In The Uncalibrated Case
* 1996: Oriented Projective Geometry for Computer Vision
* 1996: REALISE: Reconstruction of REALity from Image SEquences
* 1996: What Can Two Images Tell Us about a Third One?
* 1997: Characterizing the Uncertainty of the Fundamental Matrix
* 1997: Comparison of Projective Reconstruction Methods for Pairs of Views, A
* 1997: Computing projective and permutation invariants of points and lines
* 1997: Critical Sets of Lines for Camera Displacement Estimation: A Mixed Euclidean-Projective and Constructive Approach, The
* 1997: Effective Technique for Calibrating a Binocular Stereo Through Projective Reconstruction Using Both a Calibration Object and the Environment, An
* 1997: Forest of Sensors, A
* 1997: Gaussman-Caylay Algebra for Modeling Systems of Cameras and the Algebraic Equations of the Manifold of Trifocal Tensors
* 1997: Level Set Methods and the Stereo Problem
* 1997: Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices
* 1997: Using Geometric Corners to Build a 2D Mosaic from a Set of Images
* 1998: 3-D Reconstruction of Urban Scenes from Image Sequences
* 1998: Complete dense stereovision using level set methods
* 1998: Computing 3-Dimensional Project Invariants from a Pair of Images Using the Grassmann-Cayley Algebra
* 1998: Finding Pose of Hand in Video Images: A Stereo-Based Approach
* 1998: Forest of Sensors: Using Adaptive Tracking to Classify and Monitor Activities in a Site
* 1998: From Geometry to Variational Calculus: Theory and Applications of Three-Dimensional Vision
* 1998: Front Propagation and Level-Set Approach for Geodesic Active Stereovision
* 1998: Front Propagation and Level-Set Approach for Geodesic Active Stereovision
* 1998: new characterization of the trifocal tensor, A
* 1998: On the Determination of Epipoles Using Cross-Ratios
* 1998: Self-Calibration of a 1D Projective Camera and Its Application to the Self-Calibration of a 2D Projective Camera
* 1998: Variational-Principles, Surface Evolution, PDEs, Level Set Methods, and the Stereo Problem
* 1998: Variational-Principles, Surface Evolution, PDEs, Level Set Methods, and the Stereo Problem
* 1999: 3D Articulated Models and Multi-View Tracking with Silhouettes
* 1999: Algebraic and Geometric Tools to Compute Projective and Permutation Invariants
* 1999: Inverse EEG and MEG Problems: The Adjoint State Approach I: The Continuous Case, The
* 1999: Reconciling Distance Functions and Level Sets
* 1999: Unfolding the Cerebral Cortex Using Level Set Methods
* 2000: Codimension-Two Geodesic Active Contours for the Segmentation of Tubular Structures
* 2000: Computer Vision Methods for Image Guided Surgery
* 2000: Level Sets and Distance Functions
* 2000: Reconciling Distance Functions and Level Sets
* 2000: Self-Calibration of a 1D Projective Camera and Its Application to the Self-Calibration of a 2D Projective Camera
* 2000: Special Issue on the Second International Conference on Scale Space Theory in Computer Vision, Guest Editors' Comments
* 2000: Statistical Shape Influence in Geodesic Active Contours
* 2001: 3D Articulated Models and Multiview Tracking with Physical Forces
* 2001: Activation Detection and Characterisation in Brain fMRI Sequences. Application to the study of monkey vision
* 2001: CURVES: Curve evolution for vessel segmentation
* 2001: Dense Image Matching with Global and Local Statistical Criteria: A Variational Approach
* 2001: Geometro of Multiple Images, The
* 2001: Revisiting Non-Parametric Activation Detection on fMRI Time Series
* 2001: Straight lines have to be straight
* 2001: Using the vector distance functions to evolve manifolds of arbitrary codimension
* 2001: Variational Approach to Multi-Modal Image Matching, A
* 2001: Variational Approach to Multi-Modal Image Matching, A
* 2001: Well-posedness of eight problems of multi-modal statistical image-matching
* 2002: Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
* 2002: Shape from Shading and Viscosity Solutions
* 2002: Shape from Shading and Viscosity Solutions
* 2002: Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics
* 2002: Variational Methods for Multimodal Image Matching
* 2003: Approximations of shape metrics and application to shape warping and empirical shape statistics
* 2003: How to deal with point correspondences and tangential velocities in the level set framework
* 2003: How to deal with point correspondences and tangential velocities in the level set framework
* 2003: Integral Formulations for the EEG Problem
* 2003: mathematical and algorithmic study of the Lambertian SFS problem for orthographic and pinhole cameras, A
* 2003: Perspective shape from shading and viscosity solutions
* 2003: Retinotopic mapping in awake monkeys suggests a different functional organization for dorsal and ventral V4
* 2003: Shape gradients for histogram segmentation using active contours
* 2003: Shape metrics, warping and statistics
* 2003: Variational stereovision and 3d scene flow estimation with statistical similarity measures
* 2003: Vector Distance Functions, The
* 2004: Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks, A
* 2004: Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications, The
* 2004: Inferring White Matter Geometry from Diffusion Tensor MRI: Application to Connectivity Mapping
* 2004: Modelling Dynamic Scenes by Registering Multi-View Image Sequences
* 2004: Regularizing Flows for Constrained Matrix-Valued Images
* 2004: rigorous and realistic shape from shading method and some of its applications, A
* 2004: Shape from Shading: A Well-Posed Problem?
* 2004: Statistics on Multivariate Normal Distributions: A Geometric Approach and its Application to Diffusion Tensor MRI
* 2004: Toward Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
* 2004: Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
* 2004: use of super-resolution techniques to reduce slice thickness in functional MRI, The
* 2004: viscosity method for Shape-from-Shading without boundary data, A
* 2005: Approximations of shape metrics and application to shape warping and empirical shape statistics
* 2005: Cerebral blood flow recorded at high sensitivity in two dimensions using high resolution optical imaging
* 2005: common formalism for the Integral formulations of the forward EEG problem, A
* 2005: Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
* 2005: EEG-fMRI fusion of non-triggered data using Kalman filtering
* 2005: Generic and Provably Convergent Shape-from-Shading Method for Orthographic and Pinhole Cameras, A
* 2005: Handbook of Mathematical Methods in Computer Vision
* 2005: Handbook of Mathematical Models in Computer Vision
* 2005: Human Retinotopic Mapping Using fMRI
* 2005: Image Statistics Based on Diffeomorphic Matching
* 2005: Modelling Dynamic Scenes by Registering Multi-View Image Sequences
* 2005: Parameter estimation efficiency using nonlinear models in fMRI
* 2005: Shape from Shading: A Well-Posed Problem?
* 2006: Control Theory and Fast Marching Methods for Brain Connectivity Mapping
* 2006: Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
* 2006: Reconciling Landmarks and Level Sets
* 2006: Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing
* 2006: Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications, A
* 2007: Generalized Gradients: Priors on Minimization Flows
* 2007: Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
* 2007: Shape Statistics for Image Segmentation with Prior
* 2009: Brain Connectivity Mapping Using Riemannian Geometry, Control Theory, and PDEs
* 2011: New Variational Method for Erythrocyte Velocity Estimation in Wide-Field Imaging In Vivo, A
* 2012: Neural Fields Models of Visual Areas: Principles, Successes, and Caveats
Includes: Faugeras, O.D. Faugeras, O.D.[Olivier D.]
242 for Faugeras, O.D.
Faugere, J.C.
* 1998: Design Of Regular Nonseparable Bidimensional Wavelets Using Grobner Basis Techniques
Faugere, Y.[Yannice]
* 2018: Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Scientific Applications, The
* 2020: Assessment of DUACS Sentinel-3A Altimetry Data in the Coastal Band of the European Seas: Comparison with Tide Gauge Measurements
* 2021: Drifting Speed of Lagrangian Fronts and Oil Spill Dispersal at the Ocean Surface
* 2022: Data-Driven Calibration Algorithm and Pre-Launch Performance Simulations for the SWOT Mission
* 2023: CNES CLS 2022 Mean Sea Surface: Short Wavelength Improvements from CryoSat-2 and SARAL/AltiKa High-Sampled Altimeter Data, The
* 2023: KaRIn Noise Reduction Using a Convolutional Neural Network for the SWOT Ocean Products
* 2023: Refining the Resolution of DUACS Along-Track Level-3 Sea Level Altimetry Products
Includes: Faugere, Y.[Yannice] Faugère, Y.[Yannice]
7 for Faugere, Y.
Faugeroux, R.[Romain]
* 2017: Online human moves recognition through discriminative key poses and speed-aware action graphs