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Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XIX, 826 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Image processing - Digital techniques
ISBN 3-540-88690-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Matching -- 3D Non-rigid Surface Matching and Registration Based on Holomorphic Differentials -- Learning Two-View Stereo Matching -- SIFT Flow: Dense Correspondence across Different Scenes -- Learning+Features -- Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation -- Non-local Regularization of Inverse Problems -- Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks -- Learning Optical Flow -- Poster Session III -- Optimizing Binary MRFs with Higher Order Cliques -- Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps -- Automatic Image Colorization Via Multimodal Predictions -- CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching -- Detecting Carried Objects in Short Video Sequences -- Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition -- Robust Scale Estimation from Ensemble Inlier Sets for Random Sample Consensus Methods -- Efficient Camera Smoothing in Sequential Structure-from-Motion Using Approximate Cross-Validation -- Semi-automatic Motion Segmentation with Motion Layer Mosaics -- Unified Frequency Domain Analysis of Lightfield Cameras -- Segmenting Fiber Bundles in Diffusion Tensor Images -- View Point Tracking of Rigid Objects Based on Shape Sub-manifolds -- Generative Image Segmentation Using Random Walks with Restart -- Background Subtraction on Distributions -- A Statistical Confidence Measure for Optical Flows -- Automatic Generator of Minimal Problem Solvers -- A New Baseline for Image Annotation -- Behind the Depth Uncertainty: Resolving Ordinal Depth in SFM -- Sparse Long-Range Random Field and Its Application to Image Denoising -- Output Regularized Metric Learning with Side Information -- Student-t Mixture Filter for Robust, Real-Time Visual Tracking -- Photo and Video Quality Evaluation: Focusing on the Subject -- The Bi-directional Framework for Unifying Parametric Image Alignment Approaches -- Direct Bundle Estimation for Recovery of Shape, Reflectance Property and Light Position -- A Probabilistic Cascade of Detectors for Individual Object Recognition -- Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images -- Star Shape Prior for Graph-Cut Image Segmentation -- Efficient NCC-Based Image Matching in Walsh-Hadamard Domain -- Object Recognition by Integrating Multiple Image Segmentations -- A Linear Time Histogram Metric for Improved SIFT Matching -- An Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR Satellite Images -- A Generic Neighbourhood Filtering Framework for Matrix Fields -- Multi-scale Improves Boundary Detection in Natural Images -- Estimating 3D Trajectories of Periodic Motions from Stationary Monocular Views -- Unsupervised Learning of Skeletons from Motion -- Multi-layered Decomposition of Recurrent Scenes -- SERBoost: Semi-supervised Boosting with Expectation Regularization -- View Synthesis for Recognizing Unseen Poses of Object Classes -- Projected Texture for Object Classification -- Prior-Based Piecewise-Smooth Segmentation by Template Competitive Deformation Using Partitions of Unity -- Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning -- An Incremental Learning Method for Unconstrained Gaze Estimation -- Partial Difference Equations over Graphs: Morphological Processing of Arbitrary Discrete Data -- Real-Time Shape Analysis of a Human Body in Clothing Using Time-Series Part-Labeled Volumes -- Kernel Codebooks for Scene Categorization -- Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation -- Structuring Visual Words in 3D for Arbitrary-View Object Localization -- Multi-thread Parsing for Recognizing Complex Events in Videos -- Signature-Based Document Image Retrieval -- An Effective Approach to 3D Deformable Surface Tracking -- MRFs -- Belief Propagation with Directional Statistics for Solving the Shape-from-Shading Problem -- A Convex Formulation of Continuous Multi-label Problems -- Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles.
Record Nr. UNINA-9910484682403321
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XIX, 891 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Image processing - Digital techniques
Computer vision
ISBN 3-540-88693-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Segmentation -- Image Segmentation in the Presence of Shadows and Highlights -- Image Segmentation by Branch-and-Mincut -- What Is a Good Image Segment? A Unified Approach to Segment Extraction -- Computational Photography -- Light-Efficient Photography -- Flexible Depth of Field Photography -- Priors for Large Photo Collections and What They Reveal about Cameras -- Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections -- Poster Session IV -- CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching -- Searching the World’s Herbaria: A System for Visual Identification of Plant Species -- A Column-Pivoting Based Strategy for Monomial Ordering in Numerical Gröbner Basis Calculations -- Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration -- Movie/Script: Alignment and Parsing of Video and Text Transcription -- Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images -- Action Recognition with a Bio–inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions -- Linking Pose and Motion -- Automated Delineation of Dendritic Networks in Noisy Image Stacks -- Calibration from Statistical Properties of the Visual World -- Regular Texture Analysis as Statistical Model Selection -- Higher Dimensional Affine Registration and Vision Applications -- Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines -- Learning from Real Images to Model Lighting Variations for Face Images -- Toward Global Minimum through Combined Local Minima -- Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature -- Riemannian Anisotropic Diffusion for Tensor Valued Images -- FaceTracer: A Search Engine for Large Collections of Images with Faces -- What Does the Sky Tell Us about the Camera? -- Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux -- Scene Segmentation for Behaviour Correlation -- Robust Visual Tracking Based on an Effective Appearance Model -- Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context -- A Pose-Invariant Descriptor for Human Detection and Segmentation -- Texture-Consistent Shadow Removal -- Scene Discovery by Matrix Factorization -- Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography -- Constructing Category Hierarchies for Visual Recognition -- Sample Sufficiency and PCA Dimension for Statistical Shape Models -- Locating Facial Features with an Extended Active Shape Model -- Dynamic Integration of Generalized Cues for Person Tracking -- Extracting Moving People from Internet Videos -- Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection -- Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors -- Making Background Subtraction Robust to Sudden Illumination Changes -- Closed-Form Solution to Non-rigid 3D Surface Registration -- Implementing Decision Trees and Forests on a GPU -- General Imaging Geometry for Central Catadioptric Cameras -- Estimating Radiometric Response Functions from Image Noise Variance -- Solving Image Registration Problems Using Interior Point Methods -- 3D Face Model Fitting for Recognition -- A Multi-scale Vector Spline Method for Estimating the Fluids Motion on Satellite Images -- Continuous Energy Minimization Via Repeated Binary Fusion -- Unified Crowd Segmentation -- Quick Shift and Kernel Methods for Mode Seeking -- A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook -- A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes -- Local Regularization for Multiclass Classification Facing Significant Intraclass Variations -- Saliency Based Opportunistic Search for Object Part Extraction and Labeling -- Stereo Matching: An Outlier Confidence Approach -- Improving Shape Retrieval by Learning Graph Transduction -- Cat Head Detection - How to Effectively Exploit Shape and Texture Features -- Motion Context: A New Representation for Human Action Recognition -- Active Reconstruction -- Temporal Dithering of Illumination for Fast Active Vision -- Compressive Structured Light for Recovering Inhomogeneous Participating Media -- Passive Reflectometry -- Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery.
Record Nr. UNINA-9910483986403321
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr and Andrew Zisserman (editors)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr and Andrew Zisserman (editors)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XIX, 851 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Data mining
Optical data processing
Computer graphics
ISBN 3-540-88688-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto People -- Floor Fields for Tracking in High Density Crowd Scenes -- The Naked Truth: Estimating Body Shape Under Clothing -- Temporal Surface Tracking Using Mesh Evolution -- Faces -- Grassmann Registration Manifolds for Face Recognition -- Facial Expression Recognition Based on 3D Dynamic Range Model Sequences -- Face Alignment Via Component-Based Discriminative Search -- Improving People Search Using Query Expansions -- Poster Session II -- Fast Automatic Single-View 3-d Reconstruction of Urban Scenes -- Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems -- Anisotropic Geodesics for Perceptual Grouping and Domain Meshing -- Regularized Partial Matching of Rigid Shapes -- Compressive Sensing for Background Subtraction -- Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior -- Linear Time Maximally Stable Extremal Regions -- Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery -- Multiple Component Learning for Object Detection -- A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking -- Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences -- A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis -- SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor -- Finding Actions Using Shape Flows -- Cross-View Action Recognition from Temporal Self-similarities -- Window Annealing over Square Lattice Markov Random Field -- Unsupervised Classification and Part Localization by Consistency Amplification -- Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects -- Active Contour Based Segmentation of 3D Surfaces -- What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images? -- Learning for Optical Flow Using Stochastic Optimization -- Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation -- Pose Priors for Simultaneously Solving Alignment and Correspondence -- Latent Pose Estimator for Continuous Action Recognition -- Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images -- Determining Patch Saliency Using Low-Level Context -- Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams -- Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation -- Local Statistic Based Region Segmentation with Automatic Scale Selection -- A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus -- Video Registration Using Dynamic Textures -- Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features -- Scene Segmentation Using the Wisdom of Crowds -- Optimization of Symmetric Transfer Error for Sub-frame Video Synchronization -- Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection -- Learning CRFs Using Graph Cuts -- Feature Correspondence Via Graph Matching: Models and Global Optimization -- Event Modeling and Recognition Using Markov Logic Networks -- Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning -- 2D Image Analysis by Generalized Hilbert Transforms in Conformal Space -- An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector -- A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction -- Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers -- Statistical Analysis of Global Motion Chains -- Active Image Labeling and Its Application to Facial Action Labeling -- Real Time Feature Based 3-D Deformable Face Tracking -- Rank Classification of Linear Line Structure in Determining Trifocal Tensor -- Learning Visual Shape Lexicon for Document Image Content Recognition -- Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion -- Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach -- Tracking -- Robust Object Tracking by Hierarchical Association of Detection Responses -- Improving the Agility of Keyframe-Based SLAM -- Articulated Multi-body Tracking under Egomotion -- Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors.
Record Nr. UNINA-9910484517403321
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XIX, 891 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Image processing - Digital techniques
Computer vision
ISBN 3-540-88693-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Segmentation -- Image Segmentation in the Presence of Shadows and Highlights -- Image Segmentation by Branch-and-Mincut -- What Is a Good Image Segment? A Unified Approach to Segment Extraction -- Computational Photography -- Light-Efficient Photography -- Flexible Depth of Field Photography -- Priors for Large Photo Collections and What They Reveal about Cameras -- Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections -- Poster Session IV -- CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching -- Searching the World’s Herbaria: A System for Visual Identification of Plant Species -- A Column-Pivoting Based Strategy for Monomial Ordering in Numerical Gröbner Basis Calculations -- Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration -- Movie/Script: Alignment and Parsing of Video and Text Transcription -- Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images -- Action Recognition with a Bio–inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions -- Linking Pose and Motion -- Automated Delineation of Dendritic Networks in Noisy Image Stacks -- Calibration from Statistical Properties of the Visual World -- Regular Texture Analysis as Statistical Model Selection -- Higher Dimensional Affine Registration and Vision Applications -- Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines -- Learning from Real Images to Model Lighting Variations for Face Images -- Toward Global Minimum through Combined Local Minima -- Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature -- Riemannian Anisotropic Diffusion for Tensor Valued Images -- FaceTracer: A Search Engine for Large Collections of Images with Faces -- What Does the Sky Tell Us about the Camera? -- Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux -- Scene Segmentation for Behaviour Correlation -- Robust Visual Tracking Based on an Effective Appearance Model -- Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context -- A Pose-Invariant Descriptor for Human Detection and Segmentation -- Texture-Consistent Shadow Removal -- Scene Discovery by Matrix Factorization -- Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography -- Constructing Category Hierarchies for Visual Recognition -- Sample Sufficiency and PCA Dimension for Statistical Shape Models -- Locating Facial Features with an Extended Active Shape Model -- Dynamic Integration of Generalized Cues for Person Tracking -- Extracting Moving People from Internet Videos -- Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection -- Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors -- Making Background Subtraction Robust to Sudden Illumination Changes -- Closed-Form Solution to Non-rigid 3D Surface Registration -- Implementing Decision Trees and Forests on a GPU -- General Imaging Geometry for Central Catadioptric Cameras -- Estimating Radiometric Response Functions from Image Noise Variance -- Solving Image Registration Problems Using Interior Point Methods -- 3D Face Model Fitting for Recognition -- A Multi-scale Vector Spline Method for Estimating the Fluids Motion on Satellite Images -- Continuous Energy Minimization Via Repeated Binary Fusion -- Unified Crowd Segmentation -- Quick Shift and Kernel Methods for Mode Seeking -- A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook -- A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes -- Local Regularization for Multiclass Classification Facing Significant Intraclass Variations -- Saliency Based Opportunistic Search for Object Part Extraction and Labeling -- Stereo Matching: An Outlier Confidence Approach -- Improving Shape Retrieval by Learning Graph Transduction -- Cat Head Detection - How to Effectively Exploit Shape and Texture Features -- Motion Context: A New Representation for Human Action Recognition -- Active Reconstruction -- Temporal Dithering of Illumination for Fast Active Vision -- Compressive Structured Light for Recovering Inhomogeneous Participating Media -- Passive Reflectometry -- Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery.
Record Nr. UNISA-996466158103316
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, and Andrew Zisserman (eds)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XIX, 826 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Image processing - Digital techniques
ISBN 3-540-88690-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Matching -- 3D Non-rigid Surface Matching and Registration Based on Holomorphic Differentials -- Learning Two-View Stereo Matching -- SIFT Flow: Dense Correspondence across Different Scenes -- Learning+Features -- Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation -- Non-local Regularization of Inverse Problems -- Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks -- Learning Optical Flow -- Poster Session III -- Optimizing Binary MRFs with Higher Order Cliques -- Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps -- Automatic Image Colorization Via Multimodal Predictions -- CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching -- Detecting Carried Objects in Short Video Sequences -- Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition -- Robust Scale Estimation from Ensemble Inlier Sets for Random Sample Consensus Methods -- Efficient Camera Smoothing in Sequential Structure-from-Motion Using Approximate Cross-Validation -- Semi-automatic Motion Segmentation with Motion Layer Mosaics -- Unified Frequency Domain Analysis of Lightfield Cameras -- Segmenting Fiber Bundles in Diffusion Tensor Images -- View Point Tracking of Rigid Objects Based on Shape Sub-manifolds -- Generative Image Segmentation Using Random Walks with Restart -- Background Subtraction on Distributions -- A Statistical Confidence Measure for Optical Flows -- Automatic Generator of Minimal Problem Solvers -- A New Baseline for Image Annotation -- Behind the Depth Uncertainty: Resolving Ordinal Depth in SFM -- Sparse Long-Range Random Field and Its Application to Image Denoising -- Output Regularized Metric Learning with Side Information -- Student-t Mixture Filter for Robust, Real-Time Visual Tracking -- Photo and Video Quality Evaluation: Focusing on the Subject -- The Bi-directional Framework for Unifying Parametric Image Alignment Approaches -- Direct Bundle Estimation for Recovery of Shape, Reflectance Property and Light Position -- A Probabilistic Cascade of Detectors for Individual Object Recognition -- Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images -- Star Shape Prior for Graph-Cut Image Segmentation -- Efficient NCC-Based Image Matching in Walsh-Hadamard Domain -- Object Recognition by Integrating Multiple Image Segmentations -- A Linear Time Histogram Metric for Improved SIFT Matching -- An Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR Satellite Images -- A Generic Neighbourhood Filtering Framework for Matrix Fields -- Multi-scale Improves Boundary Detection in Natural Images -- Estimating 3D Trajectories of Periodic Motions from Stationary Monocular Views -- Unsupervised Learning of Skeletons from Motion -- Multi-layered Decomposition of Recurrent Scenes -- SERBoost: Semi-supervised Boosting with Expectation Regularization -- View Synthesis for Recognizing Unseen Poses of Object Classes -- Projected Texture for Object Classification -- Prior-Based Piecewise-Smooth Segmentation by Template Competitive Deformation Using Partitions of Unity -- Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning -- An Incremental Learning Method for Unconstrained Gaze Estimation -- Partial Difference Equations over Graphs: Morphological Processing of Arbitrary Discrete Data -- Real-Time Shape Analysis of a Human Body in Clothing Using Time-Series Part-Labeled Volumes -- Kernel Codebooks for Scene Categorization -- Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation -- Structuring Visual Words in 3D for Arbitrary-View Object Localization -- Multi-thread Parsing for Recognizing Complex Events in Videos -- Signature-Based Document Image Retrieval -- An Effective Approach to 3D Deformable Surface Tracking -- MRFs -- Belief Propagation with Directional Statistics for Solving the Shape-from-Shading Problem -- A Convex Formulation of Continuous Multi-label Problems -- Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles.
Record Nr. UNISA-996465991003316
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr and Andrew Zisserman (editors)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr and Andrew Zisserman (editors)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XIX, 851 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Data mining
Optical data processing
Computer graphics
ISBN 3-540-88688-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto People -- Floor Fields for Tracking in High Density Crowd Scenes -- The Naked Truth: Estimating Body Shape Under Clothing -- Temporal Surface Tracking Using Mesh Evolution -- Faces -- Grassmann Registration Manifolds for Face Recognition -- Facial Expression Recognition Based on 3D Dynamic Range Model Sequences -- Face Alignment Via Component-Based Discriminative Search -- Improving People Search Using Query Expansions -- Poster Session II -- Fast Automatic Single-View 3-d Reconstruction of Urban Scenes -- Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems -- Anisotropic Geodesics for Perceptual Grouping and Domain Meshing -- Regularized Partial Matching of Rigid Shapes -- Compressive Sensing for Background Subtraction -- Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior -- Linear Time Maximally Stable Extremal Regions -- Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery -- Multiple Component Learning for Object Detection -- A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking -- Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences -- A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis -- SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor -- Finding Actions Using Shape Flows -- Cross-View Action Recognition from Temporal Self-similarities -- Window Annealing over Square Lattice Markov Random Field -- Unsupervised Classification and Part Localization by Consistency Amplification -- Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects -- Active Contour Based Segmentation of 3D Surfaces -- What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images? -- Learning for Optical Flow Using Stochastic Optimization -- Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation -- Pose Priors for Simultaneously Solving Alignment and Correspondence -- Latent Pose Estimator for Continuous Action Recognition -- Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images -- Determining Patch Saliency Using Low-Level Context -- Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams -- Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation -- Local Statistic Based Region Segmentation with Automatic Scale Selection -- A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus -- Video Registration Using Dynamic Textures -- Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features -- Scene Segmentation Using the Wisdom of Crowds -- Optimization of Symmetric Transfer Error for Sub-frame Video Synchronization -- Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection -- Learning CRFs Using Graph Cuts -- Feature Correspondence Via Graph Matching: Models and Global Optimization -- Event Modeling and Recognition Using Markov Logic Networks -- Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning -- 2D Image Analysis by Generalized Hilbert Transforms in Conformal Space -- An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector -- A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction -- Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers -- Statistical Analysis of Global Motion Chains -- Active Image Labeling and Its Application to Facial Action Labeling -- Real Time Feature Based 3-D Deformable Face Tracking -- Rank Classification of Linear Line Structure in Determining Trifocal Tensor -- Learning Visual Shape Lexicon for Document Image Content Recognition -- Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion -- Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach -- Tracking -- Robust Object Tracking by Hierarchical Association of Detection Responses -- Improving the Agility of Keyframe-Based SLAM -- Articulated Multi-body Tracking under Egomotion -- Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors.
Record Nr. UNISA-996465990303316
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, Andrew Zisserman (eds.)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, Andrew Zisserman (eds.)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XXXVII, 801 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
ISBN 3-540-88682-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Lecture by Prof. Jan Koenderink -- Something Old, Something New, Something Borrowed, Something Blue -- Recognition -- Learning to Localize Objects with Structured Output Regression -- Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers -- Learning Spatial Context: Using Stuff to Find Things -- Segmentation and Recognition Using Structure from Motion Point Clouds -- Poster Session I -- Keypoint Signatures for Fast Learning and Recognition -- Active Matching -- Towards Scalable Dataset Construction: An Active Learning Approach -- GeoS: Geodesic Image Segmentation -- Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field -- Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities -- Robust Optimal Pose Estimation -- Learning to Recognize Activities from the Wrong View Point -- Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation -- Localizing Objects with Smart Dictionaries -- Weakly Supervised Object Localization with Stable Segmentations -- A Perceptual Comparison of Distance Measures for Color Constancy Algorithms -- Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners -- Semi-supervised On-Line Boosting for Robust Tracking -- Reformulating and Optimizing the Mumford-Shah Functional on a Graph — A Faster, Lower Energy Solution -- Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features -- Perspective Nonrigid Shape and Motion Recovery -- Shadows in Three-Source Photometric Stereo -- Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search -- Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories -- An Experimental Comparison of Discrete and Continuous Shape Optimization Methods -- Image Feature Extraction Using Gradient Local Auto-Correlations -- Analysis of Building Textures for Reconstructing Partially Occluded Facades -- Nonrigid Image Registration Using Dynamic Higher-Order MRF Model -- Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation -- Surface Visibility Probabilities in 3D Cluttered Scenes -- A Generative Shape Regularization Model for Robust Face Alignment -- Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs -- VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest -- ASN: Image Keypoint Detection from Adaptive Shape Neighborhood -- Online Sparse Matrix Gaussian Process Regression and Vision Applications -- Multi-stage Contour Based Detection of Deformable Objects -- Brain Hallucination -- Range Flow for Varying Illumination -- Some Objects Are More Equal Than Others: Measuring and Predicting Importance -- Robust Multiple Structures Estimation with J-Linkage -- Human Activity Recognition with Metric Learning -- Shape Matching by Segmentation Averaging -- Search Space Reduction for MRF Stereo -- Estimating 3D Face Model and Facial Deformation from a Single Image Based on Expression Manifold Optimization -- 3D Face Recognition by Local Shape Difference Boosting -- Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing -- Recovering Light Directions and Camera Poses from a Single Sphere -- Tracking with Dynamic Hidden-State Shape Models -- Interactive Tracking of 2D Generic Objects with Spacetime Optimization -- A Segmentation Based Variational Model for Accurate Optical Flow Estimation -- Similarity Features for Facial Event Analysis -- Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval -- Discriminative Learning for Deformable Shape Segmentation: A Comparative Study -- Discriminative Locality Alignment -- Stereo -- Efficient Dense Scene Flow from Sparse or Dense Stereo Data -- Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains -- Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo -- Sparse Structures in L-Infinity Norm Minimization for Structure and Motion Reconstruction.
Record Nr. UNISA-996465989603316
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, Andrew Zisserman (eds.)
Computer vision--ECCV 2008 : 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings / / David Forsyth, Philip Torr, Andrew Zisserman (eds.)
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (XXXVII, 801 p.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
ISBN 3-540-88682-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Lecture by Prof. Jan Koenderink -- Something Old, Something New, Something Borrowed, Something Blue -- Recognition -- Learning to Localize Objects with Structured Output Regression -- Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers -- Learning Spatial Context: Using Stuff to Find Things -- Segmentation and Recognition Using Structure from Motion Point Clouds -- Poster Session I -- Keypoint Signatures for Fast Learning and Recognition -- Active Matching -- Towards Scalable Dataset Construction: An Active Learning Approach -- GeoS: Geodesic Image Segmentation -- Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field -- Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities -- Robust Optimal Pose Estimation -- Learning to Recognize Activities from the Wrong View Point -- Joint Parametric and Non-parametric Curve Evolution for Medical Image Segmentation -- Localizing Objects with Smart Dictionaries -- Weakly Supervised Object Localization with Stable Segmentations -- A Perceptual Comparison of Distance Measures for Color Constancy Algorithms -- Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners -- Semi-supervised On-Line Boosting for Robust Tracking -- Reformulating and Optimizing the Mumford-Shah Functional on a Graph — A Faster, Lower Energy Solution -- Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features -- Perspective Nonrigid Shape and Motion Recovery -- Shadows in Three-Source Photometric Stereo -- Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search -- Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories -- An Experimental Comparison of Discrete and Continuous Shape Optimization Methods -- Image Feature Extraction Using Gradient Local Auto-Correlations -- Analysis of Building Textures for Reconstructing Partially Occluded Facades -- Nonrigid Image Registration Using Dynamic Higher-Order MRF Model -- Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation -- Surface Visibility Probabilities in 3D Cluttered Scenes -- A Generative Shape Regularization Model for Robust Face Alignment -- Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs -- VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest -- ASN: Image Keypoint Detection from Adaptive Shape Neighborhood -- Online Sparse Matrix Gaussian Process Regression and Vision Applications -- Multi-stage Contour Based Detection of Deformable Objects -- Brain Hallucination -- Range Flow for Varying Illumination -- Some Objects Are More Equal Than Others: Measuring and Predicting Importance -- Robust Multiple Structures Estimation with J-Linkage -- Human Activity Recognition with Metric Learning -- Shape Matching by Segmentation Averaging -- Search Space Reduction for MRF Stereo -- Estimating 3D Face Model and Facial Deformation from a Single Image Based on Expression Manifold Optimization -- 3D Face Recognition by Local Shape Difference Boosting -- Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing -- Recovering Light Directions and Camera Poses from a Single Sphere -- Tracking with Dynamic Hidden-State Shape Models -- Interactive Tracking of 2D Generic Objects with Spacetime Optimization -- A Segmentation Based Variational Model for Accurate Optical Flow Estimation -- Similarity Features for Facial Event Analysis -- Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval -- Discriminative Learning for Deformable Shape Segmentation: A Comparative Study -- Discriminative Locality Alignment -- Stereo -- Efficient Dense Scene Flow from Sparse or Dense Stereo Data -- Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains -- Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo -- Sparse Structures in L-Infinity Norm Minimization for Structure and Motion Reconstruction.
Record Nr. UNINA-9910484682603321
Berlin, Germany ; ; New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui