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Computer Vision

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Cover of 'Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Fusion Technique for Infrared and Visible Images Based on Improved Quantum Theory Model
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    Chapter 2 Skeleton-Based Human Action Recognition with Profile Hidden Markov Models
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    Chapter 3 Single Image Super-Resolution via Blind Blurring Estimation and Dictionary Learning
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    Chapter 4 Two-layers Local Coordinate Coding
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    Chapter 5 A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic
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    Chapter 6 A Real Time Robust Hand Tracking Method with Normal Cameras
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    Chapter 7 Hypergraph Regularized Autoencoder for 3D Human Pose Recovery
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    Chapter 8 Target Recognition Based on Feature Weighted Intuitionistic FCM
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    Chapter 9 The Modified Mumford-Shah Model Based on Nonlocal Means Method for Textures Segmentation
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    Chapter 10 Segmentation-Based Salient Object Detection
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    Chapter 11 Non-uniform Motion Deblurring Using Normalized Hyper Laplacian Prior
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    Chapter 12 Robust Mean Shift Tracking Based on Refined Appearance Model and Online Update
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    Chapter 13 An Effective Multiview Stereo Method for Uncalibrated Images
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    Chapter 14 The Human Image Segmentation Algorithm Based on Face Detection and Biased Normalized Cuts
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    Chapter 15 Survey on Eye Movement Based Authentication Systems
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    Chapter 16 A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification
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    Chapter 17 Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields
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    Chapter 18 Effective Facial Expression Recognition via the Boosted Convolutional Neural Network
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    Chapter 19 Structured Sparse Coding for Classification via Reweighted $$\ell _{2,1}$$ Minimization
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    Chapter 20 Detail-Enhanced Cross-Modality Face Synthesis via Guided Image Filtering
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    Chapter 21 Edge-Directed Single Image Super-Resolution via Cross-Resolution Sharpening Function Learning
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    Chapter 22 Compressive Tracking Based on Particle Filter
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    Chapter 23 An Adaptive Threshold Algorithm for Moving Object Segmentation
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    Chapter 24 Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image
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    Chapter 25 Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification
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    Chapter 26 Saliency Detection Based on Non-uniform Quantification for RGB Channels and Weights for Lab Channels
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    Chapter 27 Edge-Based Unsupervised Evaluation of Image Segmentation
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    Chapter 28 An Adaptive Fuzzy Clustering Algorithm Based on Multi-threshold for Infrared Image Segmentation
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    Chapter 29 Locally Linear Embedding Based Dynamic Texture Synthesis
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    Chapter 30 A Deep Joint Learning Approach for Age Invariant Face Verification
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    Chapter 31 A New Similarity Measure for Non-local Means Denoising
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    Chapter 32 Mixture Models for Object Detection
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    Chapter 33 An Image Forensic Technique Based on 2D Lighting Estimation Using Spherical Harmonic Frames
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    Chapter 34 Class Relatedness Oriented Discriminative Dictionary Learning
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    Chapter 35 Building an Effective Template Dictionary for Robust Offline Video Tracking
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    Chapter 36 Learning Blur Invariant Face Descriptors for Face Verification Under Realistic Environment
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    Chapter 37 Modified Numerical Scheme for Perona-Malik Model in Image Restoration
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    Chapter 38 Abnormal Event Detection Based on Multi-scale Markov Random Field
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    Chapter 39 Light-Weight Spatial Distribution Embedding of Adjacent Features for Image Search
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    Chapter 40 Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification
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    Chapter 41 Superpixel-Based Global Contrast Driven Saliency Detection in Low Contrast Images
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    Chapter 42 Decoupled Marginal Distribution of Gradient Magnitude and Laplacian of Gaussian for Texture Classification
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    Chapter 43 MR Image Segmentation Using Active Contour Model Incorporated with Sobel Edge Detection
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    Chapter 44 Spatial-Temporal Feature Fusion for Human Fall Detection
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    Chapter 45 Color Image Segmentation Combining Rough Depth Information
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Mentioned by

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Title
Computer Vision
Published by
Springer Berlin Heidelberg, September 2015
DOI 10.1007/978-3-662-48558-3
ISBNs
978-3-66-248557-6, 978-3-66-248558-3
Editors

Zha, Honbin, Chen, Xilin, Wang, Liang, Miao, Qiguang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Lecturer > Senior Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Engineering 1 20%
Unknown 2 40%