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Computer Vision – ACCV 2010

Overview of attention for book
Cover of 'Computer Vision – ACCV 2010'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deformable Object Modelling and Matching
  3. Altmetric Badge
    Chapter 2 New Efficient Solution to the Absolute Pose Problem for Camera with Unknown Focal Length and Radial Distortion
  4. Altmetric Badge
    Chapter 3 Efficient Large-Scale Stereo Matching
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    Chapter 4 Towards Full 3D Helmholtz Stereovision Algorithms
  6. Altmetric Badge
    Chapter 5 Image-Based 3D Modeling via Cheeger Sets
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    Chapter 6 Network Connectivity via Inference over Curvature-Regularizing Line Graphs
  8. Altmetric Badge
    Chapter 7 Image and Video Decolorization by Fusion
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    Chapter 8 Video Temporal Super-Resolution Based on Self-similarity
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    Chapter 9 Temporal Super Resolution from a Single Quasi-periodic Image Sequence Based on Phase Registration
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    Chapter 10 Solving MRFs with Higher-Order Smoothness Priors Using Hierarchical Gradient Nodes
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    Chapter 11 An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
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    Chapter 12 Change Detection for Temporal Texture in the Fourier Domain
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    Chapter 13 Stream-Based Active Unusual Event Detection
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    Chapter 14 Asymmetric Totally-Corrective Boosting for Real-Time Object Detection
  16. Altmetric Badge
    Chapter 15 The Application of Vision Algorithms to Visual Effects Production
  17. Altmetric Badge
    Chapter 16 Automatic Workflow Monitoring in Industrial Environments
  18. Altmetric Badge
    Chapter 17 Context-Based Support Vector Machines for Interconnected Image Annotation
  19. Altmetric Badge
    Chapter 18 Finding Human Poses in Videos Using Concurrent Matching and Segmentation
  20. Altmetric Badge
    Chapter 19 Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses
  21. Altmetric Badge
    Chapter 20 Social Interactive Human Video Synthesis
  22. Altmetric Badge
    Chapter 21 Computer Vision – ACCV 2010
  23. Altmetric Badge
    Chapter 22 Robust Tracking with Discriminative Ranking Lists
  24. Altmetric Badge
    Chapter 23 Analytical Dynamic Programming Tracker
  25. Altmetric Badge
    Chapter 24 A Multi-Scale Learning Framework for Visual Categorization
  26. Altmetric Badge
    Chapter 25 Fast Spectral Reflectance Recovery Using DLP Projector
  27. Altmetric Badge
    Chapter 26 Hemispherical Confocal Imaging Using Turtleback Reflector
  28. Altmetric Badge
    Chapter 27 Image-Based and Sketch-Based Modeling of Plants and Trees
  29. Altmetric Badge
    Chapter 28 MOMI-Cosegmentation: Simultaneous Segmentation of Multiple Objects among Multiple Images
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    Chapter 29 Spatiotemporal Closure
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    Chapter 30 Compressed Sensing for Robust Texture Classification
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    Chapter 31 Interactive Multi-label Segmentation
  33. Altmetric Badge
    Chapter 32 Four Color Theorem for Fast Early Vision
  34. Altmetric Badge
    Chapter 33 A Unified Approach to Segmentation and Categorization of Dynamic Textures
  35. Altmetric Badge
    Chapter 34 Learning Video Manifold for Segmenting Crowd Events and Abnormality Detection
  36. Altmetric Badge
    Chapter 35 A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images
  37. Altmetric Badge
    Chapter 36 Multiple Viewpoint Recognition and Localization
  38. Altmetric Badge
    Chapter 37 Localized Earth Mover’s Distance for Robust Histogram Comparison
  39. Altmetric Badge
    Chapter 38 Geometry Aware Local Kernels for Object Recognition
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

patent
5 patents

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Computer Vision – ACCV 2010
Published by
ADS, January 2011
DOI 10.1007/978-3-642-19315-6
ISBNs
978-3-64-219315-6, 978-3-64-219314-9
Editors

Ron Kimmel, Reinhard Klette, Akihiro Sugimoto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Student > Postgraduate 1 8%
Student > Master 1 8%
Unknown 8 62%
Readers by discipline Count As %
Mathematics 2 15%
Computer Science 2 15%
Engineering 1 8%
Unknown 8 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 March 2022.
All research outputs
#4,845,172
of 23,347,114 outputs
Outputs from ADS
#4,658
of 37,965 outputs
Outputs of similar age
#31,914
of 183,052 outputs
Outputs of similar age from ADS
#106
of 759 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,965 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 183,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 759 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.