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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

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Biomedical Imaging: A Computer Vision Perspective
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    Chapter 2 Computer Analysis of Images and Patterns
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    Chapter 3 Deformable Shape Reconstruction from Monocular Video with Manifold Forests
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    Chapter 4 Multi-SVM Multi-instance Learning for Object-Based Image Retrieval
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    Chapter 5 Maximizing Edit Distance Accuracy with Hidden Conditional Random Fields
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    Chapter 6 Background Recovery by Fixed-Rank Robust Principal Component Analysis
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    Chapter 7 Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel
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    Chapter 8 Computer Analysis of Images and Patterns
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    Chapter 9 Spatio-temporal Human Body Segmentation from Video Stream
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    Chapter 10 Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation
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    Chapter 11 Video Synopsis Based on a Sequential Distortion Minimization Method
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    Chapter 12 A Graph Embedding Method Using the Jensen-Shannon Divergence
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    Chapter 13 Mixtures of Radial Densities for Clustering Graphs
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    Chapter 14 Complexity Fusion for Indexing Reeb Digraphs
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    Chapter 15 Analysis of Wave Packet Signature of a Graph
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    Chapter 16 Hearing versus Seeing Identical Twins
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    Chapter 17 Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model
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    Chapter 18 Evaluating the Impact of Color on Texture Recognition
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    Chapter 19 Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups
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    Chapter 20 Adaptive Pixel/Patch-Based Stereo Matching for 2D Face Recognition
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    Chapter 21 A Machine Learning Approach for Displaying Query Results in Search Engines
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    Chapter 22 A New Pixel-Based Quality Measure for Segmentation Algorithms Integrating Precision, Recall and Specificity
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    Chapter 23 A Novel Border Identification Algorithm Based on an “Anti-Bayesian” Paradigm
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    Chapter 24 Assessing the Effect of Crossing Databases on Global and Local Approaches for Face Gender Classification
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    Chapter 25 BRDF Estimation for Faces from a Sparse Dataset Using a Neural Network
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    Chapter 26 Comparison of Leaf Recognition by Moments and Fourier Descriptors
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    Chapter 27 Dense Correspondence of Skull Models by Automatic Detection of Anatomical Landmarks
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    Chapter 28 Detection of Visual Defects in Citrus Fruits: Multivariate Image Analysis vs Graph Image Segmentation
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    Chapter 29 Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization
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    Chapter 30 Estimating Clusters Centres Using Support Vector Machine: An Improved Soft Subspace Clustering Algorithm
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    Chapter 31 Fast Approximate Minimum Spanning Tree Algorithm Based on K -Means
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    Chapter 32 Fast EM Principal Component Analysis Image Registration Using Neighbourhood Pixel Connectivity
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    Chapter 33 Fast Unsupervised Segmentation Using Active Contours and Belief Functions
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    Chapter 34 Flexible Hypersurface Fitting with RBF Kernels
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    Chapter 35 Gender Classification Using Facial Images and Basis Pursuit
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    Chapter 36 Graph Clustering through Attribute Statistics Based Embedding
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    Chapter 37 Graph-Based Regularization of Binary Classifiers for Texture Segmentation
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    Chapter 38 Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking
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    Chapter 39 High-Resolution Feature Evaluation Benchmark
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    Chapter 40 Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition
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    Chapter 41 Language Adaptive Methodology for Handwritten Text Line Segmentation
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    Chapter 42 Learning Geometry-Aware Kernels in a Regularization Framework
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    Chapter 43 Motion Trend Patterns for Action Modelling and Recognition
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    Chapter 44 On Achieving Near-Optimal “Anti-Bayesian” Order Statistics-Based Classification for Asymmetric Exponential Distributions
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    Chapter 45 Optimizing Feature Selection through Binary Charged System Search
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    Chapter 46 Outlines of Objects Detection by Analogy
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    Chapter 47 PaTHOS: Part-Based Tree Hierarchy for Object Segmentation
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    Chapter 48 Tracking System with Re-identification Using a Graph Kernels Approach
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    Chapter 49 Recognizing Human-Object Interactions Using Sparse Subspace Clustering
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    Chapter 50 Scale-Space Clustering on the Sphere
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    Chapter 51 The Importance of Long-Range Interactions to Texture Similarity
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    Chapter 52 Unsupervised Dynamic Textures Segmentation
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    Chapter 53 Voting Clustering and Key Points Selection
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    Chapter 54 Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network
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    Chapter 55 Unobtrusive Fall Detection at Home Using Kinect Sensor
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    Chapter 56 “BAM!” Depth-Based Body Analysis in Critical Care
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    Chapter 57 3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness
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    Chapter 58 3D Human Tracking from Depth Cue in a Buying Behavior Analysis Context
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    Chapter 59 A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification
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    Chapter 60 Accurate Scale Factor Estimation in 3D Reconstruction
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    Chapter 61 Affine Colour Optical Flow Computation
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    Chapter 62 Can Salient Interest Regions Resume Emotional Impact of an Image?
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    Chapter 63 Contraharmonic Mean Based Bias Field Correction in MR Images
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    Chapter 64 Correlation between Biopsy Confirmed Cases and Radiologist’s Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval
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    Chapter 65 Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours
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    Chapter 66 Expectation Conditional Maximization-Based Deformable Shape Registration
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    Chapter 67 Facial Expression Recognition with Regional Features Using Local Binary Patterns
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    Chapter 68 Global Image Registration Using Random Projection and Local Linear Method
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    Chapter 69 Image Segmentation by Oriented Image Foresting Transform with Geodesic Star Convexity
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    Chapter 70 Multi-run 3D Streetside Reconstruction from a Vehicle
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    Chapter 71 Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling
Attention for Chapter 56: “BAM!” Depth-Based Body Analysis in Critical Care
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Chapter title
“BAM!” Depth-Based Body Analysis in Critical Care
Chapter number 56
Book title
Computer Analysis of Images and Patterns
Published by
Springer, Berlin, Heidelberg, August 2013
DOI 10.1007/978-3-642-40261-6_56
Book ISBNs
978-3-64-240260-9, 978-3-64-240261-6
Authors

Manuel Martinez, Boris Schauerte, Rainer Stiefelhagen, Martinez, Manuel, Schauerte, Boris, Stiefelhagen, Rainer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Belgium 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Postgraduate 2 9%
Student > Master 2 9%
Student > Ph. D. Student 2 9%
Other 1 5%
Other 3 14%
Unknown 7 32%
Readers by discipline Count As %
Computer Science 8 36%
Engineering 5 23%
Medicine and Dentistry 1 5%
Unknown 8 36%

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