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Computer Analysis of Images and Patterns, Franc Solina; Ales Leonardis


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Автор: Franc Solina; Ales Leonardis
Название:  Computer Analysis of Images and Patterns
ISBN: 9783540663669
Издательство: Springer
Классификация:
ISBN-10: 3540663665
Обложка/Формат: Paperback
Страницы: 654
Вес: 0.92 кг.
Дата издания: 18.08.1999
Серия: Lecture Notes in Computer Science
Язык: English
Размер: 234 x 156 x 34
Основная тема: Computer Science
Подзаголовок: 8th International Conference, CAIP'99 Ljubljana, Slovenia, September 1-3, 1999 Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume constitutes the refereed proceedings of the 8th International Conference on Computer Analysis of Images and Patterns, CAIP`99. Topics covered include colour; image processing; image databases; image compression and watermarking; object and face recognition; and classification/fitting.


Computer Analysis of Images and Patterns

Автор: Gerald Sommer; Kostas Daniilidis; Josef Pauli
Название: Computer Analysis of Images and Patterns
ISBN: 3540634606 ISBN-13(EAN): 9783540634607
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book constitutes the refereed proceedings of the 7th International Conference on Computer Analysis of Images and Patterns, CAIP `97, held in Kiel, Germany, in September 1997.The volume presents 92 revised papers selected during a double-blind reviewing process from a total of 150 high-quality submissions.

Computer Analysis of Images and Patterns

Автор: Walter Kropatsch; Martin Kampel; Allan Hanbury
Название: Computer Analysis of Images and Patterns
ISBN: 3540742719 ISBN-13(EAN): 9783540742715
Издательство: Springer
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Цена: 23757.00 р.
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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.

Computer Analysis of Images and Patterns

Автор: George Azzopardi; Nicolai Petkov
Название: Computer Analysis of Images and Patterns
ISBN: 3319231162 ISBN-13(EAN): 9783319231167
Издательство: Springer
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Цена: 13416.00 р.
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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.

Computer Analysis of Images and Patterns

Автор: George Azzopardi; Nicolai Petkov
Название: Computer Analysis of Images and Patterns
ISBN: 331923191X ISBN-13(EAN): 9783319231914
Издательство: Springer
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Цена: 13416.00 р.
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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.

Computer Analysis of Images and Patterns

Автор: Michael Felsberg; Anders Heyden; Norbert Kr?ger
Название: Computer Analysis of Images and Patterns
ISBN: 3319646974 ISBN-13(EAN): 9783319646978
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017.

Computer Analysis of Images and Patterns

Автор: Richard Wilson; Edwin Hancock; Adrian Bors; Willia
Название: Computer Analysis of Images and Patterns
ISBN: 3642402607 ISBN-13(EAN): 9783642402609
Издательство: Springer
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Цена: 6986.00 р.
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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

Computer Analysis of Images and Patterns

Автор: Richard Wilson; Edwin Hancock; Adrian Bors; Willia
Название: Computer Analysis of Images and Patterns
ISBN: 3642402453 ISBN-13(EAN): 9783642402456
Издательство: Springer
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Цена: 6986.00 р.
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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
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 364241821X ISBN-13(EAN): 9783642418211
Издательство: Springer
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Цена: 6986.00 р.
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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.

Decision Forests for Computer Vision and Medical Image Analysis

Автор: Antonio Criminisi; J Shotton
Название: Decision Forests for Computer Vision and Medical Image Analysis
ISBN: 144716962X ISBN-13(EAN): 9781447169628
Издательство: Springer
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Цена: 17468.00 р.
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Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Eduardo Bayro Corrochano; Jan-Olof Eklundh
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642102670 ISBN-13(EAN): 9783642102677
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community.

Computer Models for Facial Beauty Analysis

Автор: David Zhang; Fangmei Chen; Yong Xu
Название: Computer Models for Facial Beauty Analysis
ISBN: 3319325965 ISBN-13(EAN): 9783319325965
Издательство: Springer
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Цена: 13275.00 р.
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Описание: It takes a big step toward practical facial beauty analysis, proposes more reliable and stable facial features for beauty analysis and designs new models, methods, algorithms and schemes while implementing a facial beauty analysis and beautification system.


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