Scale-Space Theory in Computer Vision First International Conference, Scale-Space '97, Utrecht, The Netherlands, July 2 - 4, 1997, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Haar Romeny, Bart ter (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Florack, Luc (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Koenderink, Jan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Viergever, Max (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
• Έκδοση: 1st ed. 1997.
• Σειρά: Lecture Notes in Computer Science, 1252
• Θέματα: 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.

This book constitutes the refereed proceedings of the First International Conference on Scale-Space Theory for Computer Vision, Scale-Space '97, held in Utrecht, The Netherlands, in July 1997. The volume presents 21 revised full papers selected from a total of 41 submissions. Also included are...

Πίνακας περιεχομένων:

• 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.