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Energy Minimization Methods in Computer Vision and Pattern Recognition

Overview of attention for book
Cover of 'Energy Minimization Methods in Computer Vision and Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multi-label Moves for MRFs with Truncated Convex Priors
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    Chapter 2 Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
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    Chapter 3 Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation
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    Chapter 4 Bipartite Graph Matching Computation on GPU
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    Chapter 5 Pose-Invariant Face Matching Using MRF Energy Minimization Framework
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    Chapter 6 Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction
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    Chapter 7 General Search Algorithms for Energy Minimization Problems
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    Chapter 8 Complex Diffusion on Scalar and Vector Valued Image Graphs
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    Chapter 9 A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
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    Chapter 10 On a Decomposition Model for Optical Flow
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    Chapter 11 A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis
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    Chapter 12 Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method
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    Chapter 13 A Local Normal-Based Region Term for Active Contours
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    Chapter 14 Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels
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    Chapter 15 Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
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    Chapter 16 Complementary Optic Flow
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    Chapter 17 Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images
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    Chapter 18 Three Dimensional Monocular Human Motion Analysis in End-Effector Space
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    Chapter 19 Robust Segmentation by Cutting across a Stack of Gamma Transformed Images
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    Chapter 20 Integrating the Normal Field of a Surface in the Presence of Discontinuities
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    Chapter 21 Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
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    Chapter 22 Energy Minimization Methods in Computer Vision and Pattern Recognition
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    Chapter 23 Image Registration under Varying Illumination: Hyper-Demons Algorithm
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    Chapter 24 Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis
  26. Altmetric Badge
    Chapter 25 Energy Minimization Methods in Computer Vision and Pattern Recognition
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    Chapter 26 Energy Minimization Methods in Computer Vision and Pattern Recognition
  28. Altmetric Badge
    Chapter 27 Image Filtering Driven by Level Curves
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    Chapter 28 Color Image Restoration Using Nonlocal Mumford-Shah Regularizers
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    Chapter 29 Reconstructing Optical Flow Fields by Motion Inpainting
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    Chapter 30 Color Image Segmentation in a Quaternion Framework
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    Chapter 31 Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel
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    Chapter 32 Locally Parallel Textures Modeling with Adapted Hilbert Spaces
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    Chapter 33 Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information
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    Chapter 34 Human Age Estimation by Metric Learning for Regression Problems
  36. Altmetric Badge
    Chapter 35 Clustering-Based Construction of Hidden Markov Models for Generative Kernels
  37. Altmetric Badge
    Chapter 36 Boundaries as Contours of Optimal Appearance and Area of Support
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

mendeley
102 Mendeley
Summary X Dimensions citations
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Title
Energy Minimization Methods in Computer Vision and Pattern Recognition
Published by
ADS, January 2009
DOI 10.1007/978-3-642-03641-5
ISBNs
978-3-64-203640-8, 978-3-64-203641-5
Editors

Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 101 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 2%
Researcher 1 <1%
Student > Master 1 <1%
Unknown 98 96%
Readers by discipline Count As %
Computer Science 2 2%
Engineering 2 2%
Unknown 98 96%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 November 2023.
All research outputs
#16,920,228
of 24,880,704 outputs
Outputs from ADS
#28,462
of 37,284 outputs
Outputs of similar age
#155,915
of 183,606 outputs
Outputs of similar age from ADS
#758
of 911 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,284 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 183,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 911 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.

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