Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings / / edited by Fiorella Sgallari, Almerico Murli, Nikos Paragios

• Record Nr.: UNISA996465639503316
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
• ISBN: 1-280-95778-6; 9786610957781; 3-540-72823-6
• Edizione: [1st ed. 2007.]
• Descrizione fisica: 1 online resource (945 p.)
• Collana: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 4485
• Disciplina: 006.37
• Soggetti: Optical data processing; Computer graphics; Pattern recognition; Artificial intelligence; Numerical analysis; Algorithms; Image Processing and Computer Vision; Computer Graphics; Pattern Recognition; Artificial Intelligence; Numeric Computing; Algorithm Analysis and Problem Complexity
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Oral Presentations -- Full Affine Wavelets Are Scale-Space with a Twist -- Iterated Nonlocal Means for Texture Restoration -- The Jet Metric -- Scale Selection for Compact Scale-Space Representation of Vector-Valued Images -- An High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions -- Linear Image Reconstruction ; by Sobolev Norms on the Bounded Domain -- A Nonconvex Model to Remove Multiplicative Noise -- Best Basis Compressed Sensing -- Efficient Beltrami Filtering of Color Images Via Vector Extrapolation -- Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE -- Faithful Recovery of Vector Valued Functions from Incomplete Data -- Discrete Regularization on Weighted Graphs for Image and Mesh Filtering -- Counter-Examples for Bayesian MAP Restoration -- New Possibilities with Sobolev Active Contours -- A Geometric-Functional-Based Image Segmentation and Inpainting -- Level Set Methods for Watershed Image Segmentation -- Segmentation Under Occlusions Using Selective Shape Prior -- On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional -- Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework -- A Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences -- Dense Optical Flow Estimation from the Monogenic Curvature Tensor -- A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers -- Paretian Similarity for Partial Comparison of Non-rigid Objects -- Some Remarks on Perspective Shape-from-Shading Models -- Poster Presentations -- Scale-Space Clustering with Recursive Validation -- Scale Spaces on Lie Groups -- Convex Inverse Scale Spaces -- Spatio-temporal Scale-Spaces -- A Scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification -- Salient Regions from Scale-Space Trees -- Generic Maximum Likely Scale Selection -- Combining Different Types of Scale Space Interest Points Using Canonical Sets -- Feature Vector Similarity Based on Local Structure -- Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images -- Fast and Accurate Gaussian Derivatives Based on B-Splines -- Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising -- The Variational Origin of Motion by Gaussian Curvature -- A Variational Method with a Noise Detector for Impulse Noise Removal -- Detection and Completion of Filaments: A Vector Field and PDE Approach -- Nonlinear Diffusion on the 2D Euclidean Motion Group -- A TV-Stokes Denoising Algorithm -- Anisotropic ?-Kernels and Associated Flows -- Bounds on the Minimizers of (nonconvex) Regularized Least-Squares -- Numerical Invariantization for Morphological PDE Schemes -- Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal -- Restoration of Images with Piecewise Space-Variant Blur -- Mumford-Shah Regularizer with Spatial Coherence -- A Generic Approach to the Filtering of Matrix Fields with Singular PDEs -- Combining Curvature Motion and Edge-Preserving Denoising -- Coordinate-Free Diffusion over Compact Lie-Groups -- Riemannian Curvature-Driven Flows for Tensor-Valued Data -- A Variational Framework for Spatio-temporal Smoothing of Fluid Motions -- Super-Resolution Using Sub-band Constrained Total Variation -- Non-negative Sparse Modeling of Textures -- Texture Synthesis and Modification with a Patch-Valued Wavelet Transform -- A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences -- Blur Invariant Image Priors -- A Variational Framework for Adaptive Satellite Images Segmentation -- Piecewise Constant Level Set Method for 3D Image Segmentation -- Histogram Based Segmentation Using Wasserstein Distances -- Efficient Segmentation of Piecewise Smooth Images -- Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions -- Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm -- Total Variation Minimization and Graph Cuts for Moving Objects Segmentation -- ; Curve Evolution in Subspaces -- Identification of Grain Boundary Contours at Atomic Scale -- Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative -- A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces -- Motion Compensated Video Super Resolution -- Kullback Leibler Divergence Based Curve Matching Method -- Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation -- A Variational Approach for 3D Motion Estimation of Incompressible PIV Flows -- Detecting Regions of Dynamic Texture -- A Method for the Transport and Registration of Images on Implicit Surfaces -- Direct Shape-from-Shading with Adaptive Higher Order Regularisation -- 3D Object Recognition by Eigen-Scale-Space of Contours -- Towards Segmentation Based on a Shape Prior Manifold -- Geometric Sampling of Manifolds for Image Representation and Processing -- Modeling Foveal Vision.
• Sommario/riassunto: This book constitutes the refereed proceedings of the First International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2007, emanated from the joint edition of the 4th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2007 and the 6th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2007, held in Ischia Italy in May/June 2007. The 24 revised full papers and 55 revised poster papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in topical sections on scale space and features extraction, image enhancement and reconstruction, image segmentation and visual grouping, motion analysis, optical flow, registration and tracking, 3D from images, scale space and feature extraction, image enhancement, reconstruction and texture synthesis, image segmentation and visual grouping, motion analysis, optical flow, registration and tracking, and biological relevance.

Experimental Algorithms [[electronic resource] ] : 7th International Workshop, WEA 2008 Provincetown, MA, USA, May 30 - June 1, 2008 Proceedings / / edited by Catherine C. McGeoch

• Record Nr.: UNISA996465583203316
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
• ISBN: 3-540-68552-9
• Edizione: [1st ed. 2008.]
• Descrizione fisica: 1 online resource (X, 363 p.)
• Collana: Theoretical Computer Science and General Issues, , 2512-2029 ; ; 5038
• Disciplina: 005.1
• Soggetti: Software engineering; Computer programming; Numerical analysis; Algorithms; Artificial intelligence—Data processing; Computer science—Mathematics; Discrete mathematics; Software Engineering; Programming Techniques; Numerical Analysis; Data Science; Discrete Mathematics in Computer Science
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Reducing Splaying by Taking Advantage of Working Sets -- Engineering Burstsort: Towards Fast In-Place String Sorting -- Comparing Integer Data Structures for 32 and 64 Bit Keys -- A New Graph-Theoretical Model for k-Dimensional Guillotine-Cutting Problems -- Layer-Free Upward Crossing Minimization -- On the Efficiency of a Local Iterative Algorithm to Compute Delaunay Realizations -- Computing Branch Decomposition of Large Planar Graphs -- Experimental Evaluation of an Exact Algorithm for the Orthogonal Art Gallery Problem -- Computing Multiple Watchman Routes -- Engineering Parallel In-Place Random ; Generation of Integer Permutations -- Parallel Partition Revisited -- Broadword Implementation of Rank/Select Queries -- Efficient Implementations of Heuristics for Routing and Wavelength Assignment -- Myopic Distributed Protocols for Singleton and Independent-Resource Congestion Games -- When to Reap and When to Sow – Lowering Peak Usage with Realistic Batteries -- Characterizing the Performance of Flash Memory Storage Devices and Its Impact on Algorithm Design -- Fast Local Search for the Maximum Independent Set Problem -- Optimal University Course Timetables and the Partial Transversal Polytope -- A Basic Toolbox for Constrained Quadratic 0/1 Optimization -- Empirical Investigation of Simplified Step-Size Control in Metaheuristics with a View to Theory -- Reconstructing Phylogenetic Networks with One Recombination -- Exact Algorithms for Cluster Editing: Evaluation and Experiments -- Combining Hierarchical and Goal-Directed Speed-Up Techniques for Dijkstra’s Algorithm -- Contraction Hierarchies: Faster and Simpler Hierarchical Routing in Road Networks -- Bidirectional A ??? Search for Time-Dependent Fast Paths -- Multi-criteria Shortest Paths in Time-Dependent Train Networks.
• Sommario/riassunto: The Workshop on Experimental Algorithms, WEA, is intended to be an int- national forum for research on the experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications. The emphasis of the workshop is the use of experimental me- ods to guide the design, analysis, implementation, and evaluation of algorithms, heuristics, and optimization programs. WEA 2008 was held at the Provincetown Inn, Provincetown, MA, USA, on May 30 – June 1, 2008. This was the seventh workshop of the series, after Rome (2007),Menorca(2006),Santorini(2005),RiodeJaniero(2004),Asconia(2003), and Riga (2001). This volume contains all contributed papers accepted for presentation at the workshop. The 26 contributed papers were selected by the Program Committee onthebasisofatleastthreerefereereports,somecontributedbytrustedexternal referees. In addition to the 26 contributed papers, the program contained two invited talks. Camil Demetrescu, of the University of Rome “La Sapienza,” spoke on “Visualization in Algorithm Engineering.” David S. Johnson of AT & T Labs – Research, gave a talk on “Bin Packing: From Theory to Experiment and Back Again.” We would like to thank the authors who responded to the call for papers, our invited speakers, the members of the ProgramCommittee, the external referees, and the Organizing Committee members for making this workshop possible.