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Computer Vision — ECCV 2002

Overview of attention for book
Computer Vision — ECCV 2002
Springer, Berlin, Heidelberg

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
Attention for Chapter 54: Bidirectional Texture Contrast Function
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Summary
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Chapter title
Bidirectional Texture Contrast Function
Chapter number 54
Book title
Computer Vision — ECCV 2002
Published by
Springer, Berlin, Heidelberg, May 2002
DOI 10.1007/3-540-47979-1_54
Book ISBNs
978-3-54-043748-2, 978-3-54-047979-6
Authors

Sylvia C. Pont, Jan J. Koenderink

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Professor 1 17%
Student > Doctoral Student 1 17%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Agricultural and Biological Sciences 1 17%
Engineering 1 17%
Unknown 2 33%

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