Fua, P.[Pascal]
* Home Page.
* email: Fua, P.[Pascal]: pascal.fua AT epfl.ch
* 3-D Modeling of Drainage Patterns
* 3D Human Body Tracking Using Deterministic Temporal Motion Models
* 3D People Tracking with Gaussian Process Dynamical Models
* 3D pose refinement from reflections
* 3D tracking for gait characterization and recognition
* Accurate face models from uncalibrated and ill-lit video sequences
* Accurate Non-Iterative O(n) Solution to the PnP Problem
* Animated Heads from Ordinary Images: A Least-Squares Approach
* Articulated soft objects for multiview shape and motion capture
* Automated Body Modeling from Video Sequences
* Automated Delineation of Dendritic Networks in Noisy Image Stacks
* Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
* automatic method for determining quaternion field boundaries for ball-and-socket joint limits, An
* Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture
* Cartographic Applications of Model-Based Optimization
* Classifier-based Contour Tracking for Rigid and Deformable Objects
* Closed-Form Solution to Non-rigid 3D Surface Registration
* Consistent Site Modeling: Imposing Hard Constraints on Deformable Models
* Convex Optimization for Deformable Surface 3-D Tracking
* Deformable Surface Tracking Ambiguities
* Deformable Velcro(TM) Surfaces
* Extracting Generic Shapes Using Model-Driven Optimization
* Fast Keypoint Recognition in Ten Lines of Code
* fast local descriptor for dense matching, A
* Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
* Fast Texture-Based Tracking and Delineation Using Texture Entropy
* Fast, Accurate and Consistent Modeling of Drainage and Surrounding Terrain
* Finding Object Boundaries Using Guided Gradient Ascent
* Fixed Point Probability Field for Complex Occlusion Handling
* From regular images to animated heads: A least squares approach
* From Ziplock Snakes to Velcro(TM) Surfaces
* Fusing online and offline information for stable 3D tracking in real-time
* Generative Model for True Orthorectificatio, A
* Generic deformable implicit mesh models for automated reconstruction
* Hierarchical implicit surface joint limits for human body tracking
* Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture
* Human body pose detection using Bayesian spatio-temporal templates
* Human Shape and Motion from Video
* Image Registration without Explicit Point Correspondences
* Implicit Meshes for Effective Silhouette Handling
* Implicit meshes for modeling and reconstruction
* Implicit Meshes for Surface Reconstruction
* Implicit Surfaces Make for Better Silhouettes
* Imposing Hard Constraints on Deformable Models Through Optimization in Orthogonal Subspaces
* Imposing Hard Constraints on Soft Snakes
* Initializing Snakes
* Keypoint Recognition Using Randomized Trees
* Keypoint Signatures for Fast Learning and Recognition
* Linear and Non-Linear Models for Monocular 3D Motion Capture
* Linking Pose and Motion
* Local deformation models for monocular 3D shape recovery
* Locating Cultural Regions in Aerial Imagery using Geometric Cues
* Making Background Subtraction Robust to Sudden Illumination Changes
* Making Snakes Converge from Minimal Initialization
* Markov-based Silhouette Extraction for Three-Dimensional Body Tracking in Presence of Cluttered Background
* Model Driven Edge Detection
* Model-Based and Context-Based Vision at SRI
* Model-Based Approach to Accurate and Consistent 3-D Modeling of Drainage and Surrounding Terrain
* Model-Based Optimization: Accurate and Consistent Site Modeling
* Model-Based Optimization: An Approach to Fast, Accurate and Consistent Site Modeling
* Model-Based Silhouette Extraction for Accurate People Tracking
* Modeling People Toward Vision-Based Understanding of a Person's Shape, Appearance, and Movement
* Modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
* Monocular 3-D Tracking of the Golf Swing
* Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps
* Multicamera People Tracking with a Probabilistic Occupancy Map
* Non-Linear Beam Model for Tracking Large Deformations
* Objective Functions for Feature Discrimination
* Objective Functions for Feature Discrimination: Applications to Semiautomated and Automated Feature Extraction
* Objective Functions for Feature Discrimination: Theory
* On benchmarking camera calibration and multi-view stereo for high resolution imagery
* Online learning of patch perspective rectification for efficient object detection
* Optimization Framework for Feature Extraction, An
* Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking
* Point matching as a classification problem for fast and robust object pose estimation
* Pose Priors for Simultaneously Solving Alignment and Correspondence
* Priors for People Tracking from Small Training Sets
* Randomized Trees for Real-Time Keypoint Recognition
* Real-Time Non-Rigid Surface Detection
* Registration without Correspondences
* Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
* Resegmentation Using Generic Shape: Locating General Cultural Objects
* Retrieving multiple light sources in the presence of specular reflections and texture
* Robust data association for online applications
* Robust Multi-View Change Detection
* Robust People Tracking with Global Trajectory Optimization
* Self-Consistency and MDL: A Paradigm for Evaluating Point-Correspondence Algorithms, and Its Application to Detecting Changes in Surface Elevation
* Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms
* Simultaneous Recognition and Homography Extraction of Local Patches with a Simple Linear Classifier
* Site-Model Construction Component of the RADIUS Testbed System, The
* Stable Real-Time 3D Tracking Using Online and Offline Information
* Surface Deformation Models for Nonrigid 3D Shape Recovery
* Temporal motion models for monocular and multiview 3D human body tracking
* Texture Boundary Detection for Real-Time Tracking
* Tracking and Modeling People in Video Sequences
* Tracking articulated bodies using Generalized Expectation Maximization
* Using Contextual Information to Set Control Parameters of a Vision Process
* Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
* Using Generic Geometric Models for Intelligent Shape Extraction
* Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences
* Using Specularities to Recover Multiple Light Sources in the Presence of Texture
* Velcro Surfaces: Fast Initialization of Deformable Models
* Visual Golf Club Tracking for Enhanced Swing Analysis
* Ziplock Snakes
Includes: Fua, P.[Pascal] Fua, P.
106 for Fua, P.
Fua, P.V.[Pascal V.]
* 3D Face Modeling from Stereo and Differential Constraints
* 3D stereo reconstruction of human faces driven by differential constraints
* Articulated Soft Objects for Video-based Body Modeling
* Combining Stereo and Monocular Information to Compute Dense Depth Maps That Preserve Depth Discontinuities
* Combining Stereo, Shading, and Geometric Constraints for Surface Reconstruction from Multiple Views
* Context-Based Vision
* Detecting Changes in 3-D Shape using Self-Consistency
* framework for detecting changes in terrain, A
* From Multiple Stereo Views to Multiple 3-D Surfaces
* From Points to Surfaces
* Incorporating Differential Constraints in a 3D Reconstruction Process. Application to Stereo
* Measuring the Self-Consistency of Stereo Algorithms
* Method and system for detecting changes in three dimensional shape
* Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading
* Parallel Stereo Algorithm That Produces Dense Depth Maps and Preserves Image Features, A
* Radiometry of Multiple Images, The
* Reconstructing Complex Surfaces from Multiple Stereo Views
* Reconstructing Surfaces from Unstructured 3D Points
* Recovery of Reflectances and Varying Illuminants from Multiple Views
* Segmenting Unstructured 3D Points into Surfaces
* Some Computational Strategies for Object Recognition
* Stereo Reconstruction from Multiple Views
* Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3-D Surfaces
* Unified Framework to Recover 3-D Surfaces by Combining Image-Based and Externally-Supplied Constraints, A
* Using 3-Dimensional Meshes to Combine Image-Based and Geometry-Based Constraints
* Using Crest Lines to Guide Surface Reconstruction from Stereo
* Using differential constraints to generate a 3D face model from stereo
* Using Differential Constraints to Reconstruct Complex Surfaces from Stereo
* Using Differential Properties for Stereo Reconstruction of Complex Surfaces
* Variable Albedo Surface Reconstruction from Stereo and Shape from Shading
Includes: Fua, P.V.[Pascal V.] Fua, P.V.
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