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Biblioteca

MARC Lista (tabellare)
Applications of Invariance in Computer Vision [[electronic resource] ] : Second Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9 - 14, 1993. Proceedings / / edited by Joseph L. Mundy, Andrew Zisserman, David Forsyth
Applications of Invariance in Computer Vision [[electronic resource] ] : Second Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9 - 14, 1993. Proceedings / / edited by Joseph L. Mundy, Andrew Zisserman, David Forsyth
Edizione [1st ed. 1994.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1994
Descrizione fisica 1 online resource (XI, 521 p.)
Disciplina 006.4/2/01516
Collana Lecture Notes in Computer Science
Soggetto topico Optical data processing
Computers
Computer graphics
Pattern recognition
Artificial intelligence
Software engineering
Image Processing and Computer Vision
Theory of Computation
Computer Graphics
Pattern Recognition
Artificial Intelligence
Software Engineering/Programming and Operating Systems
ISBN 3-540-48583-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto and chapter summary -- Cartan's moving frame method and its application to the geometry and evolution of curves in the euclidean, affine and projective planes -- Representation of three-dimensional object structure as cross-ratios of determinants of stereo image points -- A case against epipolar geometry -- Repeated structures: Image correspondence constraints and 3D structure recovery -- How to use the cross ratio to compute projective invariants from two images -- On geometric and algebraic aspects of 3D affine and projective structures from perspective 2D views -- The double algebra: An effective tool for computing invariants in computer vision -- Matching perspective views of parallel plane structures -- Invariants for recovering shape from shading -- Fundamental difficulties with projective normalization of planar curves -- Invariant size functions -- Euclidean reconstruction from uncalibrated views -- Accurate projective reconstruction -- Applications of motion field of curves -- Affine reconstruction from perspective image pairs obtained by a translating camera -- Using invariance and quasi-invariance for the segmentation and recovery of curved objects -- Representations of 3D objects that incorporate surface markings -- Model-based invariant functions and their use for recognition -- Integration of multiple feature groups and multiple views into a 3D object recognition system -- Hierarchical object description using invariants -- Generalizing invariants for 3-D to 2-D matching -- Recognition by combinations of model views: Alignment and invariance -- Classification based on the cross ratio -- Correspondence of coplanar features through P2-invariant representations -- Integrating algebraic curves and surfaces, algebraic invariants and Bayesian methods for 2D and 3D object recognition.
Record Nr. UNISA-996466091103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1994
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. 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 (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, 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
Shape, contour, and grouping in computer vision / / David A. Forsyth [and three others] (editors)
Shape, contour, and grouping in computer vision / / David A. Forsyth [and three others] (editors)
Edizione [1st ed. 1999.]
Pubbl/distr/stampa Berlin ; ; Heidelberg : , : Springer, , [1999]
Descrizione fisica 1 online resource (VIII, 350 p.)
Disciplina 006.37
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
ISBN 3-540-46805-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An Empirical-Statistical Agenda for Recognition -- A Formal-Physical Agenda for Recognition -- Shape -- Shape Models and Object Recognition -- Order Structure, Correspondence, and Shape Based Categories -- Quasi-Invariant Parameterisations and Their Applications in Computer Vision -- Shading -- Representations for Recognition Under Variable Illumination -- Shadows, Shading, and Projective Ambiguity -- Grouping -- Grouping in the Normalized Cut Framework -- Geometric Grouping of Repeated Elements within Images -- Constrained Symmetry for Change Detection -- Grouping Based on Coupled Diffusion Maps -- Representation and Recognition -- Integrating Geometric and Photometric Information for Image Retrieval -- Towards the Integration of Geometric and Appearance-Based Object Recognition -- Recognizing Objects Using Color-Annotated Adjacency Graphs -- A Cooperating Strategy for Objects Recognition -- Statistics, Learning and Recognition -- Model Selection for Two View Geometry:A Review -- Finding Objects by Grouping Primitives -- Object Recognition with Gradient-Based Learning.
Record Nr. UNINA-9910143649303321
Berlin ; ; Heidelberg : , : Springer, , [1999]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Shape, contour, and grouping in computer vision / / David A. Forsyth [and three others] (editors)
Shape, contour, and grouping in computer vision / / David A. Forsyth [and three others] (editors)
Edizione [1st ed. 1999.]
Pubbl/distr/stampa Berlin ; ; Heidelberg : , : Springer, , [1999]
Descrizione fisica 1 online resource (VIII, 350 p.)
Disciplina 006.37
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
ISBN 3-540-46805-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An Empirical-Statistical Agenda for Recognition -- A Formal-Physical Agenda for Recognition -- Shape -- Shape Models and Object Recognition -- Order Structure, Correspondence, and Shape Based Categories -- Quasi-Invariant Parameterisations and Their Applications in Computer Vision -- Shading -- Representations for Recognition Under Variable Illumination -- Shadows, Shading, and Projective Ambiguity -- Grouping -- Grouping in the Normalized Cut Framework -- Geometric Grouping of Repeated Elements within Images -- Constrained Symmetry for Change Detection -- Grouping Based on Coupled Diffusion Maps -- Representation and Recognition -- Integrating Geometric and Photometric Information for Image Retrieval -- Towards the Integration of Geometric and Appearance-Based Object Recognition -- Recognizing Objects Using Color-Annotated Adjacency Graphs -- A Cooperating Strategy for Objects Recognition -- Statistics, Learning and Recognition -- Model Selection for Two View Geometry:A Review -- Finding Objects by Grouping Primitives -- Object Recognition with Gradient-Based Learning.
Record Nr. UNISA-996465834103316
Berlin ; ; Heidelberg : , : Springer, , [1999]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui