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Computer Vision - ECCV 2004

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Cover of 'Computer Vision - ECCV 2004'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation
  3. Altmetric Badge
    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
  19. Altmetric Badge
    Chapter 18 Computer Vision - ECCV 2004
  20. Altmetric Badge
    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
  37. Altmetric Badge
    Chapter 36 Face Recognition with Local Binary Patterns
  38. Altmetric Badge
    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
  46. Altmetric Badge
    Chapter 45 Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
  47. Altmetric Badge
    Chapter 46 User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior
  48. Altmetric Badge
    Chapter 47 The Quality of Catadioptric Imaging – Application to Omnidirectional Stereo
Attention for Chapter 18: Computer Vision - ECCV 2004
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
239 Mendeley
citeulike
1 CiteULike
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Chapter title
Computer Vision - ECCV 2004
Chapter number 18
Book title
Computer Vision - ECCV 2004
Published in
Lecture notes in computer science, May 2004
DOI 10.1007/978-3-540-24670-1_18
Book ISBNs
978-3-54-021984-2, 978-3-54-024670-1
Authors

Timor Kadir, Andrew Zisserman, Michael Brady

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Switzerland 4 2%
France 4 2%
China 4 2%
Germany 3 1%
Austria 3 1%
Spain 3 1%
India 3 1%
Chile 2 <1%
Other 18 8%
Unknown 188 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 93 39%
Researcher 44 18%
Student > Master 32 13%
Other 11 5%
Student > Postgraduate 11 5%
Other 38 16%
Unknown 10 4%
Readers by discipline Count As %
Computer Science 157 66%
Engineering 55 23%
Agricultural and Biological Sciences 3 1%
Mathematics 3 1%
Medicine and Dentistry 3 1%
Other 4 2%
Unknown 14 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2024.
All research outputs
#7,697,449
of 23,415,749 outputs
Outputs from Lecture notes in computer science
#2,492
of 8,157 outputs
Outputs of similar age
#19,239
of 58,942 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 20 outputs
Altmetric has tracked 23,415,749 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 58,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.