Computer Vision - ECCV 2004

Table of Contents

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   Book Overview
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   Chapter 1 A l 1 -Unified Variational Framework for Image Restoration
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   Chapter 2 Support Blob Machines
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   Chapter 3 High Accuracy Optical Flow Estimation Based on a Theory for Warping
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   Chapter 4 Model-Based Approach to Tomographic Reconstruction Including Projection Deblurring. Sensitivity of Parameter Model to Noise on Data
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   Chapter 5 Unlevel-Sets: Geometry and Prior-Based Segmentation
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   Chapter 6 Learning and Bayesian Shape Extraction for Object Recognition
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   Chapter 7 Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
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   Chapter 8 Integral Invariant Signatures
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    Chapter 9 Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
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    Chapter 10 Spectral Simplification of Graphs
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    Chapter 11 Inferring White Matter Geometry from Diffusion Tensor MRI: Application to Connectivity Mapping
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    Chapter 12 Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
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    Chapter 13 Morphological Operations on Matrix-Valued Images
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    Chapter 14 Constraints on Coplanar Moving Points
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    Chapter 15 A PDE Solution of Brownian Warping
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    Chapter 16 Stereovision-Based Head Tracking Using Color and Ellipse Fitting in a Particle Filter
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    Chapter 17 Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
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    Chapter 18 Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination
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    Chapter 19 Structure from Motion of Parallel Lines
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    Chapter 20 A Bayesian Framework for Multi-cue 3D Object Tracking
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    Chapter 21 On the Significance of Real-World Conditions for Material Classification
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    Chapter 22 Toward Accurate Segmentation of the LV Myocardium and Chamber for Volumes Estimation in Gated SPECT Sequences
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    Chapter 23 An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
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    Chapter 24 Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
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    Chapter 25 Tensor Field Segmentation Using Region Based Active Contour Model
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    Chapter 26 Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building
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    Chapter 27 Separating Transparent Layers through Layer Information Exchange
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    Chapter 28 Multiple Classifier System Approach to Model Pruning in Object Recognition
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    Chapter 29 Coaxial Omnidirectional Stereopsis
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    Chapter 30 Classifying Materials from Their Reflectance Properties
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    Chapter 31 Seamless Image Stitching in the Gradient Domain
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    Chapter 32 Spectral Clustering for Robust Motion Segmentation
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    Chapter 33 Learning Outdoor Color Classification from Just One Training Image
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    Chapter 34 A Polynomial-Time Metric for Attributed Trees
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    Chapter 35 Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server
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    Chapter 36 Monocular 3D Reconstruction of Human Motion in Long Action Sequences
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    Chapter 37 Fusion of Infrared and Visible Images for Face Recognition
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    Chapter 38 Reliable Fiducial Detection in Natural Scenes
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    Chapter 39 Light Field Appearance Manifolds
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    Chapter 40 Galilean Differential Geometry of Moving Images
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    Chapter 41 Tracking People with a Sparse Network of Bearing Sensors
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    Chapter 42 Transformation-Invariant Embedding for Image Analysis
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    Chapter 43 The Least-Squares Error for Structure from Infinitesimal Motion
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    Chapter 44 Stereo Based 3D Tracking and Scene Learning, Employing Particle Filtering within EM
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    Chapter 45 The Isophotic Metric and Its Application to Feature Sensitive Morphology on Surfaces
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    Chapter 46 A Closed-Form Solution to Non-rigid Shape and Motion Recovery
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    Chapter 47 Stereo Using Monocular Cues within the Tensor Voting Framework
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    Chapter 48 Shape and View Independent Reflectance Map from Multiple Views