Deep Structure, Singularities, and Computer Vision [[electronic resource] ] : First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers / / edited by Ole Fogh Olsen, Luc Florack, Arjan Kuijper |
Edizione | [1st ed. 2005.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
Descrizione fisica | 1 online resource (X, 259 p.) |
Disciplina | 006.3/7 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Algorithms Artificial intelligence Computer graphics Pattern recognition Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Algorithm Analysis and Problem Complexity Artificial Intelligence Computer Graphics Pattern Recognition |
ISBN | 3-540-32097-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Oral Presentations -- Blurred Correlation Versus Correlation Blur -- A Scale Invariant Covariance Structure on Jet Space -- Essential Loops and Their Relevance for Skeletons and Symmetry Sets -- Pre-symmetry Sets of 3D Shapes -- Deep Structure of Images in Populations Via Geometric Models in Populations -- Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships -- Histogram Statistics of Local Model-Relative Image Regions -- The Bessel Scale-Space -- Linear Image Reconstruction from a Sparse Set of ?-Scale Space Features by Means of Inner Products of Sobolev Type -- A Riemannian Framework for the Processing of Tensor-Valued Images -- From Stochastic Completion Fields to Tensor Voting -- Deep Structure from a Geometric Point of View -- Maximum Likely Scale Estimation -- Adaptive Trees and Pose Identification from External Contours of Polyhedra -- Poster Presentations -- Exploiting Deep Structure -- Scale-Space Hierarchy of Singularities -- Computing 3D Symmetry Sets; A Case Study -- Irradiation Orientation from Obliquely Viewed Texture -- Using Top-Points as Interest Points for Image Matching -- Transitions of Multi-scale Singularity Trees -- A Comparison of the Deep Structure of ?-Scale Spaces -- A Note on Local Morse Theory in Scale Space and Gaussian Deformations. |
Record Nr. | UNISA-996465732003316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Deep Structure, Singularities, and Computer Vision [[electronic resource] ] : First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers / / edited by Ole Fogh Olsen, Luc Florack, Arjan Kuijper |
Edizione | [1st ed. 2005.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
Descrizione fisica | 1 online resource (X, 259 p.) |
Disciplina | 006.3/7 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Algorithms Artificial intelligence Computer graphics Pattern recognition Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Algorithm Analysis and Problem Complexity Artificial Intelligence Computer Graphics Pattern Recognition |
ISBN | 3-540-32097-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Oral Presentations -- Blurred Correlation Versus Correlation Blur -- A Scale Invariant Covariance Structure on Jet Space -- Essential Loops and Their Relevance for Skeletons and Symmetry Sets -- Pre-symmetry Sets of 3D Shapes -- Deep Structure of Images in Populations Via Geometric Models in Populations -- Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships -- Histogram Statistics of Local Model-Relative Image Regions -- The Bessel Scale-Space -- Linear Image Reconstruction from a Sparse Set of ?-Scale Space Features by Means of Inner Products of Sobolev Type -- A Riemannian Framework for the Processing of Tensor-Valued Images -- From Stochastic Completion Fields to Tensor Voting -- Deep Structure from a Geometric Point of View -- Maximum Likely Scale Estimation -- Adaptive Trees and Pose Identification from External Contours of Polyhedra -- Poster Presentations -- Exploiting Deep Structure -- Scale-Space Hierarchy of Singularities -- Computing 3D Symmetry Sets; A Case Study -- Irradiation Orientation from Obliquely Viewed Texture -- Using Top-Points as Interest Points for Image Matching -- Transitions of Multi-scale Singularity Trees -- A Comparison of the Deep Structure of ?-Scale Spaces -- A Note on Local Morse Theory in Scale Space and Gaussian Deformations. |
Record Nr. | UNINA-9910484638403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
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Lo trovi qui: Univ. Federico II | ||
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Scale-Space Theory in Computer Vision [[electronic resource] ] : First International Conference, Scale-Space '97, Utrecht, The Netherlands, July 2 - 4, 1997, Proceedings / / edited by Bart ter Haar Romeny, Luc Florack, Jan Koenderink, Max Viergever |
Edizione | [1st ed. 1997.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
Descrizione fisica | 1 online resource (XI, 373 p.) |
Disciplina | 006.3/7 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Optical data processing
Signal processing Image processing Speech processing systems Pattern recognition Computer graphics Image Processing and Computer Vision Signal, Image and Speech Processing Pattern Recognition Computer Graphics |
ISBN | 3-540-69196-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A review of nonlinear diffusion filtering -- Scale space versus topographic map for natural images -- On generalized entropies and scale-space -- On the duality of scalar and density flows -- Invertible orientation bundles on 2D scalar images -- Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels -- Generic events for the gradient squared with application to multi-scale segmentation -- Linear spatio-temporal scale-space -- On the handling of spatial and temporal scales in feature tracking -- Following feature lines across scale -- A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentation -- Supervised diffusion parameter selection for filtering SPECT brain images -- Image loci are ridges in geometric spaces -- Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference images -- Scale space analysis by stabilized inverse diffusion equations -- Intrinsic scale space for images on surfaces: The geodesic curvature flow -- Multi-spectral probabilistic diffusion using bayesian classification -- From high energy physics to low level vision -- Dynamic scale-space theories -- Recursive separable schemes for nonlinear diffusion filters -- Level set methods and the stereo problem -- Reliable classification of chrysanthemum leaves through Curvature Scale Space -- Multi-scale contour segmentation -- Reconstruction of self-similar functions from scale-space -- Multi-scale detection of characteristic figure structures using principal curvatures of image gray-level profile -- A new framework for hierarchical segmentation using similarity analysis -- Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion -- Fast adaptive alternatives to nonlinear diffusion in image enhancement: Green's function approximators and nonlocal filters -- A scale-space approach to shape similarity -- Multi-scale active shape description -- Scale-space filters and their robustness -- Directional anisotropic diffusion applied to segmentation of vessels in 3D images -- 3D shape representation: Transforming polygons into voxels -- Extraction of a structure feature from three-dimensional objects by scale-space analysis -- Slowed anisotropic diffusion -- Thin nets extraction using a multi-scale approach. |
Record Nr. | UNINA-9910144917603321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Scale-Space Theory in Computer Vision [[electronic resource] ] : First International Conference, Scale-Space '97, Utrecht, The Netherlands, July 2 - 4, 1997, Proceedings / / edited by Bart ter Haar Romeny, Luc Florack, Jan Koenderink, Max Viergever |
Edizione | [1st ed. 1997.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
Descrizione fisica | 1 online resource (XI, 373 p.) |
Disciplina | 006.3/7 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Optical data processing
Signal processing Image processing Speech processing systems Pattern recognition Computer graphics Image Processing and Computer Vision Signal, Image and Speech Processing Pattern Recognition Computer Graphics |
ISBN | 3-540-69196-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A review of nonlinear diffusion filtering -- Scale space versus topographic map for natural images -- On generalized entropies and scale-space -- On the duality of scalar and density flows -- Invertible orientation bundles on 2D scalar images -- Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels -- Generic events for the gradient squared with application to multi-scale segmentation -- Linear spatio-temporal scale-space -- On the handling of spatial and temporal scales in feature tracking -- Following feature lines across scale -- A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentation -- Supervised diffusion parameter selection for filtering SPECT brain images -- Image loci are ridges in geometric spaces -- Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference images -- Scale space analysis by stabilized inverse diffusion equations -- Intrinsic scale space for images on surfaces: The geodesic curvature flow -- Multi-spectral probabilistic diffusion using bayesian classification -- From high energy physics to low level vision -- Dynamic scale-space theories -- Recursive separable schemes for nonlinear diffusion filters -- Level set methods and the stereo problem -- Reliable classification of chrysanthemum leaves through Curvature Scale Space -- Multi-scale contour segmentation -- Reconstruction of self-similar functions from scale-space -- Multi-scale detection of characteristic figure structures using principal curvatures of image gray-level profile -- A new framework for hierarchical segmentation using similarity analysis -- Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion -- Fast adaptive alternatives to nonlinear diffusion in image enhancement: Green's function approximators and nonlocal filters -- A scale-space approach to shape similarity -- Multi-scale active shape description -- Scale-space filters and their robustness -- Directional anisotropic diffusion applied to segmentation of vessels in 3D images -- 3D shape representation: Transforming polygons into voxels -- Extraction of a structure feature from three-dimensional objects by scale-space analysis -- Slowed anisotropic diffusion -- Thin nets extraction using a multi-scale approach. |
Record Nr. | UNISA-996465395603316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
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Lo trovi qui: Univ. di Salerno | ||
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