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Computer Analysis of Images and Patterns

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Cover of 'Computer Analysis of Images and Patterns'

Table of Contents

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    Book Overview
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    Chapter 1 A New Scoring Method for Directional Dominance in Images
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    Chapter 2 A Multilayer Backpropagation Saliency Detection Algorithm Based on Depth Mining
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    Chapter 3 Laplacian Deformation with Symmetry Constraints for Reconstruction of Defective Skulls
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    Chapter 4 A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework
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    Chapter 5 Quaternionic Flower Pollination Algorithm
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    Chapter 6 Automated Cell Nuclei Segmentation in Pleural Effusion Cytology Using Active Appearance Model
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    Chapter 7 Parkinson’s Disease Identification Using Restricted Boltzmann Machines
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    Chapter 8 Attention-Based Two-Phase Model for Video Action Detection
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    Chapter 9 Learning Discriminative Representation for Skeletal Action Recognition Using LSTM Networks
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    Chapter 10 Progressive Probabilistic Graph Matching with Local Consistency Regularization
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    Chapter 11 Automatic Detection of Utility Poles Using the Bag of Visual Words Method for Different Feature Extractors
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    Chapter 12 Deep Objective Image Quality Assessment
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    Chapter 13 Enhancing Textbook Study Experiences with Pictorial Bar-Codes and Augmented Reality
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    Chapter 14 Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition
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    Chapter 15 An Improved Scheme of Local Directional Pattern for Texture Analysis with an Application to Facial Expressions
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    Chapter 16 A Missing Singular Point Resistant Fingerprint Classification Technique, Based on Directional Patterns
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    Chapter 17 Indexing of Single and Multi-instance Iris Data Based on LSH-Forest and Rotation Invariant Representation
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    Chapter 18 Clustering-Based, Fully Automated Mixed-Bag Jigsaw Puzzle Solving
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    Chapter 19 A Violence Detection Approach Based on Spatio-temporal Hypergraph Transition
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    Chapter 20 Blur Parameter Identification Through Optimum-Path Forest
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    Chapter 21 Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-task Learning
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    Chapter 22 Multi-view Separation of Background and Reflection by Coupled Low-Rank Decomposition
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    Chapter 23 Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE
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    Chapter 24 Feature Selection on Affine Moment Invariants in Relation to Known Dependencies
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    Chapter 25 GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification
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    Chapter 26 A New Shadow Removal Method Using Color-Lines
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    Chapter 27 Improving Semantic Segmentation with Generalized Models of Local Context
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    Chapter 28 An Image-Matching Method Using Template Updating Based on Statistical Prediction of Visual Noise
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    Chapter 29 Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras
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    Chapter 30 An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features
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    Chapter 31 Multi-label Poster Classification into Genres Using Different Problem Transformation Methods
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    Chapter 32 Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network
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    Chapter 33 Labeling Color 2D Digital Images in Theoretical Near Logarithmic Time
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    Chapter 34 What Is the Best Depth-Map Compression for Depth Image Based Rendering?
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    Chapter 35 Nonlinear Mapping Based on Spectral Angle Preserving Principle for Hyperspectral Image Analysis
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    Chapter 36 Object Triggered Egocentric Video Summarization
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    Chapter 37 3D Motion Consistency Analysis for Segmentation in 2D Video Projection
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    Chapter 38 Space-Variant Gabor Decomposition for Filtering 3D Medical Images
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    Chapter 39 Learning Based Single Image Super Resolution Using Discrete Wavelet Transform
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    Chapter 40 Directional Total Variation Based Image Deconvolution with Unknown Boundaries
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Title
Computer Analysis of Images and Patterns
Published by
Springer International Publishing, September 2017
DOI 10.1007/978-3-319-64698-5
ISBNs
978-3-31-964697-8, 978-3-31-964698-5
Editors

Felsberg, Michael, Heyden, Anders, Krüger, Norbert

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 3 19%
Lecturer 2 13%
Student > Master 2 13%
Professor 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Computer Science 7 44%
Engineering 3 19%
Physics and Astronomy 1 6%
Unknown 5 31%