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Computer Analysis of Images and Patterns

Computer Analysis of Images and Patterns

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About the Book

Table of Contents - Part I.-Biomedical Imaging: A Computer Vision Perspective.- Rapid Localisation and Retrieval of Human Actions with Relevance Feedback.- Deformable Shape Reconstruction from Monocular Video with Manifold Forests.- Multi-SVM Multi-instance Learning for Object-Based Image Retrieval.- Maximizing Edit Distance Accuracy with Hidden Conditional Random Fields.- Background Recovery by Fixed-Rank Robust Principal Component Analysis.- Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel.- Spatio-temporal Manifold Embedding for Nearly-Repetitive Contents in a Video Stream.- Spatio-temporal Human Body Segmentation from Video Stream.- Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation.- Video Synopsis Based on a Sequential Distortion Minimization Method.- A Graph Embedding Method Using the Jensen-Shannon Divergence.- Mixtures of Radial Densities for Clustering Graph.- Analysis of Wave Packet Signature of a Graph.- Hearing versus Seeing Identical Twins.- Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model.- Evaluating the Impact of Color on Texture Recognition.- Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups.- Adaptive Pixel/Patch-Based Stereo Matching for 2D Face Recognition.- A Machine Learning Approach for Displaying Query Results in Search Engines.- A New Pixel-Based Quality Measure for Segmentation Algorithms Integrating Precision, Recall and Specificity.- A Novel Border Identification Algorithm Based on an "Anti-Bayesian" Paradigm.- Assessing the Effect of Crossing Databases on Global and Local Approaches for Face Gender Classification.- BRDF Estimation for Faces from a Sparse Dataset Using a Neural Network.- Comparison of Leaf Recognition by Moments and Fourier Descriptors.- Dense Correspondence of Skull Models by Automatic Detection of Anatomical Landmarks.- Detection of Visual Defects in Citrus Fruits: Multivariate Image Analysis vs Graph Image Segmentation.- Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization.- Estimating Clusters Centres Using Support Vector Machine: An Improved Soft Subspace Clustering Algorithm.- Fast Approximate Minimum Spanning Tree Algorithm Based on K-Means.- Fast EM Principal Component Analysis Image Registration Using Neighbourhood Pixel Connectivity.- Fast Unsupervised Segmentation Using Active Contours and Belief Functions.- Flexible Hypersurface Fitting with RBF Kernels.- Gender Classification Using Facial Images and Basis Pursuit.- Graph Clustering through Attribute Statistics Based Embedding.- Graph-Based Regularization of Binary Classifiers for Texture Segmentation.- Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking.- High-Resolution Feature Evaluation Benchmark.- Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition.- Language Adaptive Methodology for Handwritten Text Line Segmentation.- Learning Geometry-Aware Kernels in a Regularization Framework.- Motion Trend Patterns for Action Modelling and Recognition.- On Achieving Near-Optimal "Anti-Bayesian" Order Statistics-Based Classification for Asymmetric Exponential Distributions.- Optimizing Feature Selection through Binary Charged System Search.- Outlines of Objects Detection by Analogy.- PaTHOS: Part-Based Tree Hierarchy for Object Segmentation.- Tracking System with Re-identification Using a Graph Kernels Approach.- Recognizing Human-Object Interactions Using Sparse Subspace Clustering.- Scale-Space Clustering on the Sphere.- The Importance of Long-Range Interactions to Texture Similarity.- Unsupervised Dynamic Textures Segmentation.- Voting Clustering and Key Points Selection.- Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network.- Unobtrusive Fall Detection at Home Using Kinect Sensor.- "BAM!


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Product Details
  • ISBN-13: 9783642402609
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 32
  • Height: 234 mm
  • No of Pages: 601
  • Series Title: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics
  • Sub Title: 15th International Conference, Caip 2013, York, Uk, August 27-29, 2013
  • Width: 156 mm
  • ISBN-10: 3642402607
  • Publisher Date: 07 Aug 2013
  • Binding: Paperback
  • Edition: 2013 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 32 mm
  • Weight: 911 gr


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