Scale-Space and Morphology in Computer Vision [electronic resource] : Third International Conference, Scale-Space 2001 Vancouver, Canada, July 7–8, 2001 Proceedings / edited by Michael Kerckhove.Material type: TextLanguage: English Series: Lecture Notes in Computer Science 2106: 2106Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001Description: XI, 435 pp. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540477785Subject(s): Computer science | Artificial intelligence | Computer graphics | Computer vision | Optical pattern recognition | Computer Science | Image Processing and Computer Vision | Computer Graphics | Pattern Recognition | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 LOC classification: TA1637-1638TA1637-1638Online resources: Click here to access online
Oral Presentations -- Using the Vector Distance Functions to Evolve Manifolds of Arbitrary Codimension -- Computing Optic Flow by Scale-Space Integration of Normal Flow -- Image Registration, Optical Flow, and Local Rigidity -- What Do Features Tell about Images? -- Features in Scale Space: Progress on the 2D 2nd Order Jet -- Tracking of Multi-state Hand Models Using Particle Filtering and a Hierarchy of Multi-scale Image Features? -- A Note on Two Classical Shock Filters and Their Asymptotics -- Bayesian Object Detection through Level Curves Selection -- A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses? -- Total Variation Based Oversampling of Noisy Images -- Down-Scaling for Better Transform Compression -- Algebraic and PDE Approaches for Multiscale Image Operators with Global Constraints: Reference Semilattice Erosions and Levelings -- Adjunctions in Pyramids and Curve Evolution -- Hierarchies of Partitions and Morphological Segmentation -- On the Behavior of Spatial Critical Points under Gaussian Blurring A Folklore Theorem and Scale-Space Constraints -- Scale-Space Theories for Scalar and Vector Images -- Gaussian Convolutions Numerical Approximations Based on Interpolation -- Scale-Spaces, PDE’s, and Scale-Invariance -- Poster Presentations -- Generic Multi-scale Segmentation and Curve Approximation Method -- Segmentation of Shapes? -- The Influence of the ?-Parameter on Feature Detection with Automatic Scale Selection -- Scale-Time Kernels and Models -- Exploring Non-linear Difusion: The Difusion Echo -- Bilateral Filtering and Anisotropic Difusion: Towards a Unified Viewpoint -- An Accurate Operator Splitting Scheme for Nonlinear Difusion Filtering -- Selection of Optimal Stopping Time for Nonlinear Difusion Filtering -- Complex Difusion Processes for Image Filtering -- Combing a Porcupine via Stereographic Direction Difusion -- Inverse Scale Space Theory for Inverse Problems -- Histograms of Infinitesimal Neighbourhoods -- Indentation and Protrusion Detection and Its Applications -- Geodesic Active Contours Applied to Texture Feature Space -- Color Differential Structure -- Geometry Motivated Variational Segmentation for Color Images -- Hierarchical Segmentation Using Dynamics of Multiscale Color Gradient Watersheds -- Fast Statistical Level Sets Image Segmentation for Biomedical Applications -- Robust Multi-scale Non-rigid Registration of 3D Ultrasound Images -- Segmentation-Free Estimation of Length Distributions Using Sieves and RIA Morphology -- Morphological Tools for Robust Key-Region Extraction and Video Shot Modeling? -- Polyhedral Set Operations for 3D Discrete Object Deformation -- Inverse Quantization of Digital Binary Images for Resolution Conversion.
This book constitutes the refereed proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001, held in Vancouver, Canada in July 2001. The 18 revised full papers presented together with 23 posters were carefully reviewed and selected from 60 submissions. The book addresses all current aspects of scale-space and morphology in the context of computer vision, in particular, vector distance functions, optic flow, image registration, curve evolution, morphological segmentation, scalar images, vector images, automatic scale selection, geometric diffusion, diffusion filtering, image filtering, inverse problems, active contours, etc.