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Efficient Algorithms for Global Optimization Methods in Computer Vision [[electronic resource] ] : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
| Efficient Algorithms for Global Optimization Methods in Computer Vision [[electronic resource] ] : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (VII, 175 p. 128 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Algorithms Numerical analysis Computer science Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Numeric Computing Computer Science, general |
| ISBN | 3-642-54774-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Optimization -- Modeling -- Nonconvex Optimization -- Shape Representations. |
| Record Nr. | UNISA-996203614703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Efficient Algorithms for Global Optimization Methods in Computer Vision [[electronic resource] ] : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
| Efficient Algorithms for Global Optimization Methods in Computer Vision [[electronic resource] ] : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (VII, 175 p. 128 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Algorithms Numerical analysis Computer science Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Numeric Computing Computer Science, general |
| ISBN | 3-642-54774-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Optimization -- Modeling -- Nonconvex Optimization -- Shape Representations. |
| Record Nr. | UNINA-9910484623703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition : Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012, Proceedings / / edited by Axel Pinz, Thomas Pock, Horst Bischof, Franz Leberl
| Pattern Recognition : Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012, Proceedings / / edited by Axel Pinz, Thomas Pock, Horst Bischof, Franz Leberl |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XV, 510 p. 220 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-642-32717-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | As Time Goes by—Anytime Semantic Segmentation with Iterative Context Forests -- Interactive Labeling of Image Segmentation Hierarchies -- Hierarchy of Localized Random Forests for Video Annotation -- A TV-L1 Optical Flow Method with Occlusion Detection.- Curvature Prior for MRF-Based Segmentation and Shape Inpainting.- Mean Field for Continuous High-Order MRFs -- How Well Do Filter-Based MRFs Model Natural Images? -- Anisotropic Range Image Integration -- Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves -- Shape (Self-)Similarity and Dissimilarity Rating for Segmentation and Matching. -- Dense 3D Reconstruction with a Hand-Held Camera -- OUR-CVFH – Oriented, Unique and Repeatable Clustered Viewpoint Feature Histogram for Object Recognition and 6DOF Pose Estimation -- 3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating -- Classification with Global, Local and Shared Features -- Object Detection in Multi-view X-Ray Images -- Eye Localization Using the Discriminative Generalized Hough Transform -- Simultaneous Estimation of Material Properties and Pose for Deformable Objects from Depth and Color Images -- Surface Quality Inspection of Deformable Parts with Variable B-Spline Surfaces -- Automated Image Forgery Detection through Classification of JPEG Ghosts -- Synergy-Based Learning of Facial Identity -- Information Theoretic Clustering Using Minimum Spanning Trees -- Dynamical SVM for Time Series Classification -- Trust-Region Algorithm for Nonnegative Matrix Factorization with Alpha- and Beta-divergences.- Line Matching Using Appearance Similarities and Geometric Constraints.-Salient Pattern Detection Using W2 on Multivariate Normal Distributions -- A Simple Extension of Stability Feature Selection -- Feature-Based Multi-video Synchronization with Subframe Accuracy.- Combination of Sinusoidal and Single Binary Pattern Projection for Fast 3D Surface Reconstruction -- Consensus Multi-View Photometric Stereo -- Automatic Scale Selection of Superimposed Signals -- Sensitivity/Robustness Flexible Ellipticity Measures -- Sparse Point Estimation for Bayesian Regression via Simulated Annealing -- Active Metric Learning for Object Recognition -- Accuracy-Efficiency Evaluation of Adaptive Support Weight Techniques for Local Stereo Matching -- Groupwise Shape Registration Based on Entropy Minimization -- Adaptive Multi-cue 3D Tracking of Arbitrary Objects -- Training of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly Imbalanced Datasets -- PCA-Enhanced Stochastic Optimization Methods -- A Real-Time MRF Based Approach for Binary Segmentation -- Pottics – The Potts Topic Model for Semantic Image Segmentation -- Decision Tree Ensembles in Biomedical Time-Series Classification -- Spatio-temporally Coherent Interactive Video Object Segmentation via Efficient Filtering.-Discrepancy Norm as Fitness Function for Defect Detection on Regularly Textured Surfaces.- Video Compression with 3-D Pose Tracking, PDE-Based Image Coding, and Electrostatic Halftoning -- Image Completion Optimised for Realistic Simulations of Wound Development.- Automatic Model Selection in Archetype Analysis -- Stereo Fusion from Multiple Viewpoints -- Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to US Speed Limit Detection -- A Bottom-Up Approach for Learning Visual Object Detection Models from Unreliable Sources -- Active Learning of Ensemble Classifiers for Gesture Recognition. Interactive Labeling of Image Segmentation Hierarchies -- Hierarchy of Localized Random Forests for Video Annotation -- A TV-L1 Optical Flow Method with Occlusion Detection.- Curvature Prior for MRF-Based Segmentation and Shape Inpainting.- Mean Field for Continuous High-Order MRFs -- How Well Do Filter-Based MRFs Model Natural Images? -- Anisotropic Range Image Integration -- Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves -- Shape (Self-)Similarity and Dissimilarity Rating for Segmentation and Matching. -- Dense 3D Reconstruction with a Hand-Held Camera -- OUR-CVFH – Oriented, Unique and Repeatable Clustered Viewpoint Feature Histogram for Object Recognition and 6DOF Pose Estimation -- 3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating -- Classification with Global, Local and Shared Features -- Object Detection in Multi-view X-Ray Images -- Eye Localization Using the Discriminative Generalized Hough Transform -- Simultaneous Estimation of Material Properties and Pose for Deformable Objects from Depth and Color Images -- Surface Quality Inspection of Deformable Parts with Variable B-Spline Surfaces -- Automated Image Forgery Detection through Classification of JPEG Ghosts -- Synergy-Based Learning of Facial Identity -- Information Theoretic Clustering Using Minimum Spanning Trees -- Dynamical SVM for Time Series Classification -- Trust-Region Algorithm for Nonnegative Matrix Factorization with Alpha- and Beta-divergences.- Line Matching Using Appearance Similarities and Geometric Constraints.-Salient Pattern Detection Using W2 on Multivariate Normal Distributions -- A Simple Extension of Stability Feature Selection -- Feature-Based Multi-video Synchronization with Subframe Accuracy.- Combination of Sinusoidal and Single Binary Pattern Projection for Fast 3D Surface Reconstruction -- Consensus Multi-View Photometric Stereo -- Automatic Scale Selection of Superimposed Signals -- Sensitivity/Robustness Flexible Ellipticity Measures -- Sparse Point Estimation for Bayesian Regression via Simulated Annealing -- Active Metric Learning for Object Recognition -- Accuracy-Efficiency Evaluation of Adaptive Support Weight Techniques for Local Stereo Matching -- Groupwise Shape Registration Based on Entropy Minimization -- Adaptive Multi-cue 3D Tracking of Arbitrary Objects -- Training of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly Imbalanced Datasets -- PCA-Enhanced Stochastic Optimization Methods -- A Real-Time MRF Based Approach for Binary Segmentation -- Pottics – The Potts Topic Model for Semantic Image Segmentation -- Decision Tree Ensembles in Biomedical Time-Series Classification -- Spatio-temporally Coherent Interactive Video Object Segmentation via Efficient Filtering.-Discrepancy Norm as Fitness Function for Defect Detection on Regularly Textured Surfaces.- Video Compression with 3-D Pose Tracking, PDE-Based Image Coding, and Electrostatic Halftoning -- Image Completion Optimised for Realistic Simulations of Wound Development.- Automatic Model Selection in Archetype Analysis -- Stereo Fusion from Multiple Viewpoints -- Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to US Speed Limit Detection -- A Bottom-Up Approach for Learning Visual Object Detection Models from Unreliable Sources -- Active Learning of Ensemble Classifiers for Gesture Recognition. |
| Record Nr. | UNISA-996466062203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 4th International Conference, SSVM 2013, Schloss Seggau, Graz, Austria, June 2-6, 2013, Proceedings / / edited by Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
| Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 4th International Conference, SSVM 2013, Schloss Seggau, Graz, Austria, June 2-6, 2013, Proceedings / / edited by Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 514 p. 196 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer graphics Pattern recognition Algorithms Application software Computers Image Processing and Computer Vision Computer Graphics Pattern Recognition Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices |
| ISBN | 3-642-38267-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Denoising and Restoration Targeted Iterative Filtering -- Generalized Gradient on Vector Bundle – Application to Image Denoising -- Expert Regularizers for Task Specific Processing -- A Spectral Approach to Total Variation -- Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems -- Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities -- Variational Methods for Motion Deblurring with Still Background -- Blind Deblurring Using a Simplified Sharpness Index -- A Cascadic Alternating Krylov Subspace Image Restoration Method -- B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems -- Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems -- Image Enhancement and Texture Synthesis Static and Dynamic Texture Mixing Using Optimal Transport -- A TGV Regularized Wavelet Based Zooming Model -- Anisotropic Third-Order Regularization for Sparse Digital Elevation Models -- A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images -- Constrained Sparse Texture Synthesis -- Outlier Removal Power of the L1-Norm Super-Resolution -- Optical Flow and 3D Reconstruction Why Is the Census Transform Good for Robust Optic Flow Computation? -- Generalised Perspective Shape from Shading in Spherical Coordinates -- Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to Scale Space -- Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data -- Perspective Photometric Stereo with Shadows -- Solving the Uncalibrated Photometric Stereo Problem Using Total Variation -- Minimizing TGV-Based Variational Models with Non-convex Data Terms -- A Mathematically Justified Algorithm for Shape from Texture -- Scale Space and Partial Differential Equations Multi Scale Shape Index for 3D Object Recognition -- Compression of Depth Maps with Segment-Based Homogeneous Diffusion -- Scale Space Operators on Hierarchies of Segmentations -- Discrete Deep Structure -- Image Matching Using Generalized Scale-Space Interest Points -- A Fully Discrete Theory for Linear Osmosis Filtering -- L2-Stable Nonstandard Finite Differences for Anisotropic Diffusion -- Relations between Amoeba Median Algorithms and Curvature-Based PDEs -- Image and Shape Analysis, Segmentation Scale and Edge Detection with Topological Derivatives -- Active Contours for Multi-region Image Segmentation with a Single Level Set Function -- Regularized Discrete Optimal Transport -- Variational Method for Computing Average Images of Biological Organs -- A Hierarchical Approach to Optimal Transport -- Layered Mean Shift Methods -- Partial Optimality via Iterative Pruning for the Potts Model -- Wimmelbild Analysis with Approximate Curvature Coding Distance Images -- Defect Classification on Specular Surfaces Using Wavelets. |
| Record Nr. | UNISA-996466299503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 4th International Conference, SSVM 2013, Schloss Seggau, Graz, Austria, June 2-6, 2013, Proceedings / / edited by Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
| Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 4th International Conference, SSVM 2013, Schloss Seggau, Graz, Austria, June 2-6, 2013, Proceedings / / edited by Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 514 p. 196 illus.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer graphics Pattern recognition Algorithms Application software Computers Image Processing and Computer Vision Computer Graphics Pattern Recognition Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices |
| ISBN | 3-642-38267-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Denoising and Restoration Targeted Iterative Filtering -- Generalized Gradient on Vector Bundle – Application to Image Denoising -- Expert Regularizers for Task Specific Processing -- A Spectral Approach to Total Variation -- Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems -- Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities -- Variational Methods for Motion Deblurring with Still Background -- Blind Deblurring Using a Simplified Sharpness Index -- A Cascadic Alternating Krylov Subspace Image Restoration Method -- B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems -- Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems -- Image Enhancement and Texture Synthesis Static and Dynamic Texture Mixing Using Optimal Transport -- A TGV Regularized Wavelet Based Zooming Model -- Anisotropic Third-Order Regularization for Sparse Digital Elevation Models -- A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images -- Constrained Sparse Texture Synthesis -- Outlier Removal Power of the L1-Norm Super-Resolution -- Optical Flow and 3D Reconstruction Why Is the Census Transform Good for Robust Optic Flow Computation? -- Generalised Perspective Shape from Shading in Spherical Coordinates -- Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to Scale Space -- Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data -- Perspective Photometric Stereo with Shadows -- Solving the Uncalibrated Photometric Stereo Problem Using Total Variation -- Minimizing TGV-Based Variational Models with Non-convex Data Terms -- A Mathematically Justified Algorithm for Shape from Texture -- Scale Space and Partial Differential Equations Multi Scale Shape Index for 3D Object Recognition -- Compression of Depth Maps with Segment-Based Homogeneous Diffusion -- Scale Space Operators on Hierarchies of Segmentations -- Discrete Deep Structure -- Image Matching Using Generalized Scale-Space Interest Points -- A Fully Discrete Theory for Linear Osmosis Filtering -- L2-Stable Nonstandard Finite Differences for Anisotropic Diffusion -- Relations between Amoeba Median Algorithms and Curvature-Based PDEs -- Image and Shape Analysis, Segmentation Scale and Edge Detection with Topological Derivatives -- Active Contours for Multi-region Image Segmentation with a Single Level Set Function -- Regularized Discrete Optimal Transport -- Variational Method for Computing Average Images of Biological Organs -- A Hierarchical Approach to Optimal Transport -- Layered Mean Shift Methods -- Partial Optimality via Iterative Pruning for the Potts Model -- Wimmelbild Analysis with Approximate Curvature Coding Distance Images -- Defect Classification on Specular Surfaces Using Wavelets. |
| Record Nr. | UNINA-9910483567803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||