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Computer Vision — ECCV 2002

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Cover of 'Computer Vision — ECCV 2002'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
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    Chapter 2 Hausdorff Kernel for 3D Object Acquisition and Detection
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    Chapter 3 Evaluating Image Segmentation Algorithms Using the Pareto Front
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    Chapter 4 On Performance Characterization and Optimization for Image Retrieval
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    Chapter 5 Statistical Learning of Multi-view Face Detection
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    Chapter 6 Dynamic Trees: Learning to Model Outdoor Scenes
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    Chapter 7 Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
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    Chapter 8 Learning a Sparse Representation for Object Detection
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    Chapter 9 Stratified Self Calibration from Screw-Transform Manifolds
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    Chapter 10 Self-Organization of Randomly Placed Sensors
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    Chapter 11 Camera Calibration with One-Dimensional Objects
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    Chapter 12 Automatic Camera Calibration from a Single Manhattan Image
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    Chapter 13 What Can Be Known about the Radiometric Response from Images?
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    Chapter 14 Estimation of Illuminant Direction and Intensity of Multiple Light Sources
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    Chapter 15 3D Modelling Using Geometric Constraints: A Parallelepiped Based Approach
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    Chapter 16 Geometric Properties of Central Catadioptric Line Images
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    Chapter 17 Another Way of Looking at Plane-Based Calibration: The Centre Circle Constraint
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    Chapter 18 Active Surface Reconstruction Using the Gradient Strategy
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    Chapter 19 Linear Pose Estimation from Points or Lines
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    Chapter 20 A Video-Based Drowning Detection System
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    Chapter 21 Visual Data Fusion for Objects Localization by Active Vision
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    Chapter 22 Towards Real-Time Cue Integration by Using Partial Results
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    Chapter 23 Tracking and Object Classification for Automated Surveillance
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    Chapter 24 Very Fast Template Matching
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    Chapter 25 Fusion of Multiple Tracking Algorithms for Robust People Tracking
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    Chapter 26 Video Summaries through Mosaic-Based Shot and Scene Clustering
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    Chapter 27 Optimization Algorithms for the Selection of Key Frame Sequences of Variable Length
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    Chapter 28 Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
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    Chapter 29 An Unified Approach to Model-Based and Model-Free Visual Servoing
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    Chapter 30 Comparing Intensity Transformations and Their Invariants in the Context of Color Pattern Recognition
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    Chapter 31 A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing
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    Chapter 32 Video Compass
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    Chapter 33 Computing Content-Plots for Video
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    Chapter 34 Classification and Localisation of Diabetic-Related Eye Disease
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    Chapter 35 Robust Active Shape Model Search
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    Chapter 36 A New Image Registration Technique with Free Boundary Constraints: Application to Mammography
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    Chapter 37 Registration Assisted Image Smoothing and Segmentation
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    Chapter 38 An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI
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    Chapter 39 A PDE Approach for Thickness, Correspondence, and Gridding of Annular Tissues
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    Chapter 40 Statistical Characterization of Morphological Operator Sequences
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    Chapter 41 Image Registration for Foveated Omnidirectional Sensing
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    Chapter 42 Automatic Model Selection by Modelling the Distribution of Residuals
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    Chapter 43 Assorted Pixels: Multi-sampled Imaging with Structural Models
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    Chapter 44 Robust Parameterized Component Analysis
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    Chapter 45 Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning
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    Chapter 46 A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
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    Chapter 47 Learning to Parse Pictures of People
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    Chapter 48 Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance
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    Chapter 49 Exemplar-Based Face Recognition from Video
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    Chapter 50 Learning the Topology of Object Views
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    Chapter 51 A Robust PCA Algorithm for Building Representations from Panoramic Images
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    Chapter 52 Adjustment Learning and Relevant Component Analysis
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    Chapter 53 What Are Textons?
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    Chapter 54 Bidirectional Texture Contrast Function
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    Chapter 55 Removing Shadows from Images
Overall attention for this book and its chapters
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Mentioned by

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Citations

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Readers on

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746 Mendeley
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Title
Computer Vision — ECCV 2002
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/3-540-47979-1
ISBNs
978-3-54-043748-2, 978-3-54-047979-6
Editors

Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen

Mendeley readers

The data shown below were compiled from readership statistics for 746 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 10 1%
United States 8 1%
China 5 <1%
Spain 4 <1%
Netherlands 3 <1%
Brazil 3 <1%
Italy 3 <1%
France 3 <1%
Portugal 2 <1%
Other 24 3%
Unknown 681 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 203 27%
Student > Master 172 23%
Researcher 98 13%
Student > Bachelor 71 10%
Student > Doctoral Student 40 5%
Other 100 13%
Unknown 62 8%
Readers by discipline Count As %
Computer Science 386 52%
Engineering 173 23%
Agricultural and Biological Sciences 20 3%
Mathematics 13 2%
Neuroscience 10 1%
Other 68 9%
Unknown 76 10%