Computer Vision – ECCV 2008

Table of Contents

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   Book Overview
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   Chapter 1 Computer Vision – ECCV 2008
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   Chapter 1 Something Old, Something New, Something Borrowed, Something Blue
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   Chapter 2 Learning to Localize Objects with Structured Output Regression
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   Chapter 2 The Naked Truth: Estimating Body Shape Under Clothing
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   Chapter 3 Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
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   Chapter 3 Temporal Surface Tracking Using Mesh Evolution
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   Chapter 4 Grassmann Registration Manifolds for Face Recognition
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   Chapter 4 Learning Spatial Context: Using Stuff to Find Things
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    Chapter 5 Segmentation and Recognition Using Structure from Motion Point Clouds
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    Chapter 5 Facial Expression Recognition Based on 3D Dynamic Range Model Sequences
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    Chapter 6 Face Alignment Via Component-Based Discriminative Search
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    Chapter 6 Keypoint Signatures for Fast Learning and Recognition
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    Chapter 7 Active Matching
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    Chapter 7 Improving People Search Using Query Expansions
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    Chapter 8 Towards Scalable Dataset Construction: An Active Learning Approach
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    Chapter 8 Fast Automatic Single-View 3-d Reconstruction of Urban Scenes
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    Chapter 9 Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems
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    Chapter 9 GeoS: Geodesic Image Segmentation
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    Chapter 10 Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field
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    Chapter 10 Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
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    Chapter 11 Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities
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    Chapter 11 Regularized Partial Matching of Rigid Shapes
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    Chapter 12 Robust Optimal Pose Estimation
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    Chapter 12 Compressive Sensing for Background Subtraction
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    Chapter 13 Learning to Recognize Activities from the Wrong View Point
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    Chapter 13 Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
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    Chapter 14 Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation
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    Chapter 14 Linear Time Maximally Stable Extremal Regions
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    Chapter 15 Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery
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    Chapter 15 Localizing Objects with Smart Dictionaries
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    Chapter 16 Weakly Supervised Object Localization with Stable Segmentations
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    Chapter 16 Multiple Component Learning for Object Detection
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    Chapter 17 A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
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    Chapter 17 A Perceptual Comparison of Distance Measures for Color Constancy Algorithms
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    Chapter 18 Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences
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    Chapter 18 Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
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    Chapter 19 A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis
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    Chapter 19 Semi-supervised On-Line Boosting for Robust Tracking
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    Chapter 20 SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
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    Chapter 20 Reformulating and Optimizing the Mumford-Shah Functional on a Graph — A Faster, Lower Energy Solution
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    Chapter 21 Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
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    Chapter 21 Finding Actions Using Shape Flows
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    Chapter 22 Cross-View Action Recognition from Temporal Self-similarities
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    Chapter 22 Perspective Nonrigid Shape and Motion Recovery
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    Chapter 23 Window Annealing over Square Lattice Markov Random Field
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    Chapter 23 Shadows in Three-Source Photometric Stereo
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    Chapter 24 Unsupervised Classification and Part Localization by Consistency Amplification
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    Chapter 24 Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
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    Chapter 25 Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories
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    Chapter 25 Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects
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    Chapter 26 An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
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    Chapter 26 Active Contour Based Segmentation of 3D Surfaces
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    Chapter 27 What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images?
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    Chapter 27 Image Feature Extraction Using Gradient Local Auto-Correlations
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    Chapter 28 Analysis of Building Textures for Reconstructing Partially Occluded Facades
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    Chapter 28 Learning for Optical Flow Using Stochastic Optimization
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    Chapter 29 Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation
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    Chapter 29 Nonrigid Image Registration Using Dynamic Higher-Order MRF Model
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    Chapter 30 Pose Priors for Simultaneously Solving Alignment and Correspondence
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    Chapter 30 Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
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    Chapter 31 Surface Visibility Probabilities in 3D Cluttered Scenes
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    Chapter 31 Latent Pose Estimator for Continuous Action Recognition
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    Chapter 32 Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images
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    Chapter 32 A Generative Shape Regularization Model for Robust Face Alignment
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    Chapter 33 Determining Patch Saliency Using Low-Level Context
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    Chapter 33 Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
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    Chapter 34 VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest
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    Chapter 34 Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams
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    Chapter 35 Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation
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    Chapter 35 ASN: Image Keypoint Detection from Adaptive Shape Neighborhood
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    Chapter 36 Online Sparse Matrix Gaussian Process Regression and Vision Applications
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    Chapter 36 Local Statistic Based Region Segmentation with Automatic Scale Selection
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    Chapter 37 A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
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    Chapter 37 Multi-stage Contour Based Detection of Deformable Objects
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    Chapter 38 Brain Hallucination
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    Chapter 38 Video Registration Using Dynamic Textures
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    Chapter 39 Range Flow for Varying Illumination
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    Chapter 39 Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
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    Chapter 40 Scene Segmentation Using the Wisdom of Crowds
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    Chapter 40 Some Objects Are More Equal Than Others: Measuring and Predicting Importance
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    Chapter 41 Optimization of Symmetric Transfer Error for Sub-frame Video Synchronization
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    Chapter 41 Robust Multiple Structures Estimation with J-Linkage
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    Chapter 42 Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection
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    Chapter 42 Human Activity Recognition with Metric Learning
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    Chapter 43 Shape Matching by Segmentation Averaging
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    Chapter 43 Learning CRFs Using Graph Cuts
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    Chapter 44 Search Space Reduction for MRF Stereo
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    Chapter 44 Feature Correspondence Via Graph Matching: Models and Global Optimization
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    Chapter 45 Estimating 3D Face Model and Facial Deformation from a Single Image Based on Expression Manifold Optimization
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    Chapter 45 Event Modeling and Recognition Using Markov Logic Networks
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    Chapter 46 3D Face Recognition by Local Shape Difference Boosting
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    Chapter 46 Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning
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    Chapter 47 2D Image Analysis by Generalized Hilbert Transforms in Conformal Space
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    Chapter 47 Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
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    Chapter 48 An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
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    Chapter 48 Recovering Light Directions and Camera Poses from a Single Sphere
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    Chapter 49 Tracking with Dynamic Hidden-State Shape Models
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    Chapter 49 A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction
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     Chapter 50 Interactive Tracking of 2D Generic Objects with Spacetime Optimization
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     Chapter 50 Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
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     Chapter 51 A Segmentation Based Variational Model for Accurate Optical Flow Estimation
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     Chapter 51 Statistical Analysis of Global Motion Chains
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     Chapter 52 Active Image Labeling and Its Application to Facial Action Labeling
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     Chapter 52 Similarity Features for Facial Event Analysis
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     Chapter 53 Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval
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     Chapter 53 Real Time Feature Based 3-D Deformable Face Tracking
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     Chapter 54 Rank Classification of Linear Line Structure in Determining Trifocal Tensor
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     Chapter 54 Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
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     Chapter 55 Learning Visual Shape Lexicon for Document Image Content Recognition
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     Chapter 55 Computer Vision – ECCV 2008
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     Chapter 56 Efficient Dense Scene Flow from Sparse or Dense Stereo Data
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     Chapter 56 Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
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     Chapter 57 Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains
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     Chapter 57 Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
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     Chapter 58 Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
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     Chapter 58 Robust Object Tracking by Hierarchical Association of Detection Responses
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     Chapter 59 Sparse Structures in L-Infinity Norm Minimization for Structure and Motion Reconstruction
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     Chapter 59 Improving the Agility of Keyframe-Based SLAM
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     Chapter 60 Articulated Multi-body Tracking under Egomotion
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     Chapter 61 Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors