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Computer vision-- ECCV 2006 : 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006 : proceedings

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Cover of 'Computer vision-- ECCV 2006 : 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006 : proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
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    Chapter 2 Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
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    Chapter 3 Hyperfeatures – Multilevel Local Coding for Visual Recognition
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    Chapter 4 Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
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    Chapter 5 Controlling Sparseness in Non-negative Tensor Factorization
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    Chapter 6 Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
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    Chapter 7 Degen Generalized Cylinders and Their Properties
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    Chapter 8 Geodesics Between 3D Closed Curves Using Path-Straightening
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    Chapter 9 Robust Homography Estimation from Planar Contours Based on Convexity
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    Chapter 10 Detecting Instances of Shape Classes That Exhibit Variable Structure
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    Chapter 11 Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points
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    Chapter 12 Estimation of Multiple Periodic Motions from Video
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    Chapter 13 Robust Multi-body Motion Tracking Using Commute Time Clustering
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    Chapter 14 A Tuned Eigenspace Technique for Articulated Motion Recognition
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    Chapter 15 Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
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    Chapter 16 A Fluid Motion Estimator for Schlieren Image Velocimetry
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    Chapter 17 Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection
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    Chapter 18 Geometry and Kinematics with Uncertain Data
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    Chapter 19 Euclidean Structure from N ≥ 2 Parallel Circles: Theory and Algorithms
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    Chapter 20 Overconstrained Linear Estimation of Radial Distortion and Multi-view Geometry
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    Chapter 21 Camera Calibration with Two Arbitrary Coaxial Circles
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    Chapter 22 Molding Face Shapes by Example
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    Chapter 23 Reconstruction of Canal Surfaces from Single Images Under Exact Perspective
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    Chapter 24 Subspace Estimation Using Projection Based M-Estimators over Grassmann Manifolds
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    Chapter 25 Learning 2D Hand Shapes Using the Topology Preservation Model GNG
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    Chapter 26 Towards Optimal Training of Cascaded Detectors
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    Chapter 27 Learning and Incorporating Top-Down Cues in Image Segmentation
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    Chapter 28 Learning to Detect Objects of Many Classes Using Binary Classifiers
  30. Altmetric Badge
    Chapter 29 Computer Vision – ECCV 2006
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    Chapter 30 Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
  32. Altmetric Badge
    Chapter 31 From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage
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    Chapter 32 SURF: Speeded Up Robust Features
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    Chapter 33 Top-Points as Interest Points for Image Matching
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    Chapter 34 Machine Learning for High-Speed Corner Detection
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    Chapter 35 Smooth Image Segmentation by Nonparametric Bayesian Inference
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    Chapter 36 Shape Analysis and Fuzzy Control for 3D Competitive Segmentation of Brain Structures with Level Sets
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    Chapter 37 Variational Motion Segmentation with Level Sets
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    Chapter 38 Ellipse Fitting with Hyperaccuracy
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    Chapter 39 A Physically-Motivated Deformable Model Based on Fluid Dynamics
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    Chapter 40 Video and Image Bayesian Demosaicing with a Two Color Image Prior
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    Chapter 41 Generalized Multi-sensor Planning
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    Chapter 42 Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints
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    Chapter 43 Specularity Removal in Images and Videos: A PDE Approach
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    Chapter 44 Carved Visual Hulls for Image-Based Modeling
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    Chapter 45 What Is the Range of Surface Reconstructions from a Gradient Field?
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    Chapter 46 Practical Global Optimization for Multiview Geometry
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    Chapter 47 Perspective n-View Multibody Structure-and-Motion Through Model Selection
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    Chapter 48 Confocal Stereo
Attention for Chapter 32: SURF: Speeded Up Robust Features
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

1 news outlet
19 patents
1 video uploader


74 Dimensions

Readers on

3471 Mendeley
36 CiteULike
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Chapter title
SURF: Speeded Up Robust Features
Chapter number 32
Book title
Computer Vision – ECCV 2006
Published in
Lecture notes in computer science, January 2006
DOI 10.1007/11744023_32
Book ISBNs
978-3-54-033832-1, 978-3-54-033833-8

Herbert Bay, Tinne Tuytelaars, Luc Van Gool

Mendeley readers

The data shown below were compiled from readership statistics for 3,471 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 43 1%
Germany 37 1%
United Kingdom 26 <1%
France 22 <1%
China 18 <1%
Japan 16 <1%
Spain 13 <1%
Austria 11 <1%
Portugal 10 <1%
Other 114 3%
Unknown 3161 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1015 29%
Student > Master 889 26%
Researcher 400 12%
Student > Bachelor 329 9%
Student > Doctoral Student 149 4%
Other 417 12%
Unknown 272 8%
Readers by discipline Count As %
Computer Science 1755 51%
Engineering 1066 31%
Agricultural and Biological Sciences 48 1%
Physics and Astronomy 38 1%
Earth and Planetary Sciences 37 1%
Other 156 4%
Unknown 371 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 30 March 2021.
All research outputs
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Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 17,704,521 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,731 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 197,277 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.