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Computer Vision - ECCV 2004

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Table of Contents

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    Book Overview
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    Chapter 1 A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation
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    Chapter 2 Enhancing Particle Filters Using Local Likelihood Sampling
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    Chapter 3 A Boosted Particle Filter: Multitarget Detection and Tracking
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    Chapter 4 Simultaneous Object Recognition and Segmentation by Image Exploration
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    Chapter 5 Recognition by Probabilistic Hypothesis Construction
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    Chapter 6 Human Detection Based on a Probabilistic Assembly of Robust Part Detectors
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    Chapter 7 Model Selection for Range Segmentation of Curved Objects
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    Chapter 8 High-Contrast Color-Stripe Pattern for Rapid Structured-Light Range Imaging
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    Chapter 9 Using Inter-feature-Line Consistencies for Sequence-Based Object Recognition
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    Chapter 10 Discriminant Analysis on Embedded Manifold
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    Chapter 11 Multiscale Inverse Compositional Alignment for Subdivision Surface Maps
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    Chapter 12 A Fourier Theory for Cast Shadows
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    Chapter 13 Surface Reconstruction by Propagating 3D Stereo Data in Multiple 2D Images
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    Chapter 14 Visibility Analysis and Sensor Planning in Dynamic Environments
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    Chapter 15 Camera Calibration from the Quasi-affine Invariance of Two Parallel Circles
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    Chapter 16 Texton Correlation for Recognition
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    Chapter 17 Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
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    Chapter 18 Computer Vision - ECCV 2004
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    Chapter 19 A Visual Category Filter for Google Images
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    Chapter 20 Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
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    Chapter 21 Semantics Discovery for Image Indexing
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    Chapter 22 Hand Gesture Recognition within a Linguistics-Based Framework
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    Chapter 23 Line Geometry for 3D Shape Understanding and Reconstruction
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    Chapter 24 Extending Interrupted Feature Point Tracking for 3-D Affine Reconstruction
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    Chapter 25 Many-to-Many Feature Matching Using Spherical Coding of Directed Graphs
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    Chapter 26 Coupled-Contour Tracking through Non-orthogonal Projections and Fusion for Echocardiography
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    Chapter 27 A Statistical Model for General Contextual Object Recognition
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    Chapter 28 Reconstruction from Projections Using Grassmann Tensors
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    Chapter 29 Co-operative Multi-target Tracking and Classification
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    Chapter 30 A Linguistic Feature Vector for the Visual Interpretation of Sign Language
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    Chapter 31 Fast Object Detection with Occlusions
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    Chapter 32 Pose Estimation of Free-Form Objects
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    Chapter 33 Interactive Image Segmentation Using an Adaptive GMMRF Model
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    Chapter 34 Can We Consider Central Catadioptric Cameras and Fisheye Cameras within a Unified Imaging Model
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    Chapter 35 Image Clustering with Metric, Local Linear Structure, and Affine Symmetry
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    Chapter 36 Face Recognition with Local Binary Patterns
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    Chapter 37 Steering in Scale Space to Optimally Detect Image Structures
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    Chapter 38 Hand Motion from 3D Point Trajectories and a Smooth Surface Model
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    Chapter 39 A Robust Probabilistic Estimation Framework for Parametric Image Models
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    Chapter 40 Keyframe Selection for Camera Motion and Structure Estimation from Multiple Views
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    Chapter 41 Omnidirectional Vision: Unified Model Using Conformal Geometry
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    Chapter 42 A Robust Algorithm for Characterizing Anisotropic Local Structures
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    Chapter 43 Dimensionality Reduction by Canonical Contextual Correlation Projections
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    Chapter 44 Accuracy of Spherical Harmonic Approximations for Images of Lambertian Objects under Far and Near Lighting
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    Chapter 45 Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
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    Chapter 46 User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior
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    Chapter 47 The Quality of Catadioptric Imaging – Application to Omnidirectional Stereo
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2 tweeters
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10 patents
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2 Wikipedia pages

Citations

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Title
Computer Vision - ECCV 2004
Published by
Springer, Berlin, Heidelberg, January 2004
DOI 10.1007/b97865
ISBNs
978-3-54-021984-2, 978-3-54-024670-1
Editors

Tomás Pajdla, Jiří Matas

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 3 1%
Korea, Republic of 2 <1%
Japan 2 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Turkey 1 <1%
Netherlands 1 <1%
Indonesia 1 <1%
Other 0 0%
Unknown 216 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 20%
Student > Master 36 16%
Unspecified 24 10%
Student > Bachelor 14 6%
Researcher 14 6%
Other 20 9%
Unknown 77 33%
Readers by discipline Count As %
Computer Science 65 28%
Engineering 40 17%
Unspecified 25 11%
Agricultural and Biological Sciences 7 3%
Mathematics 4 2%
Other 13 6%
Unknown 77 33%