Computer Analysis of Visual Textures, Fumiaki Tomita; Saburo Tsuji
Автор: Fumiaki Tomita; Saburo Tsuji Название: Computer Analysis of Visual Textures ISBN: 1461288320 ISBN-13(EAN): 9781461288329 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents theories and techniques for perception of textures by computer. Texture analysis is one of the first important steps in computer vision since texture provides important cues to recognize real-world objects.
Автор: George Azzopardi; Nicolai Petkov Название: Computer Analysis of Images and Patterns ISBN: 3319231162 ISBN-13(EAN): 9783319231167 Издательство: Springer Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two volume set LNCS 9256 and 9257 constitutes the refereed proceedings of the 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, held in Valletta, Malta, in September 2015.
Автор: Georgy L. Gimel`farb Название: Image Textures and Gibbs Random Fields ISBN: 9401059128 ISBN-13(EAN): 9789401059121 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Image analysis is one of the most challenging areas in today`s computer sci- ence, and image technologies are used in a host of applications.
Описание: Computer vision falls short of human vision in two respects: execution time and intelligent interpretation. Part 1 introduces different architectures for vision: associative and pyramid processors as examples of fine-grain machines and a workstation with bus-oriented network topology as an example of a multiprocessor system.
Автор: Richard Wilson; Edwin Hancock; Adrian Bors; Willia Название: Computer Analysis of Images and Patterns ISBN: 3642402607 ISBN-13(EAN): 9783642402609 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 Kine
Автор: Richard Wilson; Edwin Hancock; Adrian Bors; Willia Название: Computer Analysis of Images and Patterns ISBN: 3642402453 ISBN-13(EAN): 9783642402456 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Table of Contents - Part II
Classified-Distance Based Shape Descriptor for Application to Image Retrieval.- A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits.- Supporting Ancient Coin Classification by Image-Based Reverse Side Symbol Recognition.- Eyewitness Face Sketch Recognition Based on Two-Step Bias Modeling.- Weighted Semi-Global Matching and Center-Symmetric Census Transform for Robust Driver Assistance.- HandwrittenWord Image Matching Based on Heat Kernel Signature.- Wrong Roadway Detection for Multi-lane Roads.- Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors. Focus Fusion with Anisotropic Depth Map Smoothing.- Accurate Fibre Orientation Measurement for Carbon Fibre Surfaces.- Benchmarking GPU-Based Phase Correlation for Homography-Based Registration of Aerial Imagery.- Robustness of Point Feature Detection.- Depth Super-Resolution by Enhanced Shift and Add.- Using Region-Based Saliency for 3D Interest Points Detection.- Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach.- 3D Mesh Decomposition Using Protrusion and Boundary Part Detection.- Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation.- Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging.- Region Based Contour Detection by Dynamic Programming.- Sparse Coding and Mid-Level Superpixel-Feature for _0-Graph Based.- Unsupervised Image Segmentation.- Intuitive Large Image Database Browsing Using Perceptual Similarity Enriched by Crowds.- Irreversibility Analysis of Feature Transform-Based Cancelable Biometrics.- L∞ Norm Based Solution for Visual Odometry.- Matching Folded Garments to Unfolded Templates Using Robust Shape Analysis Techniques.- Multi-scale Image Segmentation Using MSER.- Multi-spectral Material Classification in Landscape Scenes Using Commodity Hardware.- Multispectral Stereo Image Correspondence.- NLP EAC Recognition by Component Separation in the Eye Region.- OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification.- Orthonormal Diffusion Decompositions of Images for Optical Flow Estimation.- Pairwise Similarity for Line Extraction from Distorted Images.- Plant Leaf Classification Using Color on a Gravitational Approach.- Semi-automatic Image Annotation.- Segmentation of Skin Spectral Images Using Simulated Illuminations.- Robust Visual Object Tracking via Sparse Representation and Reconstruction.- Sphere Detection in Kinect Point Clouds Via the 3D Hough Transform.- Watermark Optimization of 3D Shapes for Minimal Distortion and High Robustness.- Wavelet Network and Geometric Features Fusion Using Belief Functions for 3D Face Recognition.- A Color-Based Selective and Interactive Filter Using Weighted TV.- A Composable Strategy for Shredded Document Reconstruction.- Global-Local Approach to Saliency Detection.- A Moving Average Bidirectional Texture Function Model.- A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment.- Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions.- An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy.- Analysis of Bat Wing Beat Frequency Using Fourier Transform.- Automated Ground-Plane Estimation for Trajectory Rectification.- Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tab ar and Birads Tissue Compositions.- Color Transfer Based on Earth Mover's Distance and Color Categorization.- Empirical Comparison of Visual Descriptors for Multiple Bleeding Spots Recognition in Wireless Capsule Endoscopy Video.- Exploring Interest Points and Local Descriptors forWord Spotting Application on Historical Handwriting Images.- Gravitational B
Автор: Walter Kropatsch; Martin Kampel; Allan Hanbury Название: Computer Analysis of Images and Patterns ISBN: 3540742719 ISBN-13(EAN): 9783540742715 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007, held in Vienna, Austria, in August 2007. This work contains papers that are organized in topical sections on motion detection and tracking, medical imaging, biometrics, colour, image segmentation and shape.
Описание: This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions.
Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
Автор: Yun Fu Название: Low-Rank and Sparse Modeling for Visual Analysis ISBN: 3319355678 ISBN-13(EAN): 9783319355672 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.
Автор: Yun Fu Название: Low-Rank and Sparse Modeling for Visual Analysis ISBN: 3319119990 ISBN-13(EAN): 9783319119991 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.
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