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Energy Minimization Methods in Computer Vision and Pattern Recognition

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Cover of 'Energy Minimization Methods in Computer Vision and Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph
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    Chapter 2 Szemerédi’s Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation
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    Chapter 3 Exact Solution of Permuted Submodular MinSum Problems
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    Chapter 4 Efficient Shape Matching Via Graph Cuts
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    Chapter 5 Simulating Classic Mosaics with Graph Cuts
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    Chapter 6 An Energy Minimisation Approach to Attributed Graph Regularisation
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    Chapter 7 A Pupil Localization Algorithm Based on Adaptive Gabor Filtering and Negative Radial Symmetry
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    Chapter 8 Decomposing Document Images by Heuristic Search
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    Chapter 9 CIDER: Corrected Inverse-Denoising Filter for Image Restoration
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    Chapter 10 Skew Detection Algorithm for Form Document Based on Elongate Feature
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    Chapter 11 Active Appearance Models Fitting with Occlusion
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    Chapter 12 Combining Left and Right Irises for Personal Authentication
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    Chapter 13 Bottom-Up Recognition and Parsing of the Human Body
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    Chapter 14 Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks
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    Chapter 15 An Automatic Portrait System Based on And-Or Graph Representation
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    Chapter 16 Object Category Recognition Using Generative Template Boosting
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    Chapter 17 Bayesian Inference for Layer Representation with Mixed Markov Random Field
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    Chapter 18 Dichromatic Reflection Separation from a Single Image
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    Chapter 19 Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models
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    Chapter 20 A Boosting Discriminative Model for Moving Cast Shadow Detection
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    Chapter 21 An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image
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    Chapter 22 Improved Object Tracking Using an Adaptive Colour Model
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    Chapter 23 Vehicle Tracking Based on Image Alignment in Aerial Videos
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    Chapter 24 Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling
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    Chapter 25 Compositional Object Recognition, Segmentation, and Tracking in Video
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    Chapter 26 Bayesian Order-Adaptive Clustering for Video Segmentation
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    Chapter 27 Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis
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    Chapter 28 Discrete Skeleton Evolution
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    Chapter 29 Shape Classification Based on Skeleton Path Similarity
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    Chapter 30 Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves
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    Chapter 31 Shape Analysis of Open Curves in ℝ 3 with Applications to Study of Fiber Tracts in DT-MRI Data
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    Chapter 32 Energy-Based Reconstruction of 3D Curves for Quality Control
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    Chapter 33 3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
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    Chapter 34 Continuous Global Optimization in Multiview 3D Reconstruction
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    Chapter 35 A New Bayesian Method for Range Image Segmentation
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    Chapter 36 Marked Point Process for Vascular Tree Extraction on Angiogram
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    Chapter 37 Surface Reconstruction from LiDAR Data with Extended Snake Theory
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2 Wikipedia pages

Citations

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Title
Energy Minimization Methods in Computer Vision and Pattern Recognition
Published by
Springer Science & Business Media, August 2007
DOI 10.1007/978-3-540-74198-5
ISBNs
978-3-54-074195-4, 978-3-54-074198-5
Editors

Yuille, Alan L., Zhu, Song-Chun, Cremers, Daniel, Wang, Yongtian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 1%
Student > Doctoral Student 1 1%
Student > Master 1 1%
Unknown 91 97%
Readers by discipline Count As %
Computer Science 1 1%
Agricultural and Biological Sciences 1 1%
Social Sciences 1 1%
Unknown 91 97%