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Computer Vision – ECCV 2008

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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
Attention for Chapter 56: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
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Chapter title
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
Chapter number 56
Book title
Computer Vision – ECCV 2008
Published by
Springer, Berlin, Heidelberg, October 2008
DOI 10.1007/978-3-540-88682-2_56
Book ISBNs
978-3-54-088681-5, 978-3-54-088682-2
Authors

Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas Brox, Uwe Franke, Daniel Cremers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
China 1 3%
Japan 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 57%
Student > Master 8 23%
Professor > Associate Professor 2 6%
Researcher 2 6%
Other 1 3%
Other 1 3%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 20 57%
Engineering 11 31%
Mathematics 2 6%
Agricultural and Biological Sciences 1 3%
Unknown 1 3%