Computer Vision - ECCV 2002 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part I /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Heyden, Anders (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sparr, Gunnar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nielsen, Mads (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Johansen, Peter (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Lecture Notes in Computer Science, 2350
• Θέματα: Optical data processing.; Computer graphics.; Pattern recognition.; Artificial intelligence.; Image Processing and Computer Vision.; Computer Graphics.; Pattern Recognition.; Artificial Intelligence.

Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privile...

Πίνακας περιεχομένων:

• Active and Real-Time Vision
• Tracking with the EM Contour Algorithm
• M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo
• Image Features
• Analytical Image Models and Their Applications
• Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
• Combining Appearance and Topology for Wide Baseline Matching
• Guided Sampling and Consensus for Motion Estimation
• Image Features / Visual Motion
• Fast Anisotropic Gauss Filtering
• Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
• An Affine Invariant Interest Point Detector
• Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring
• Image Processing Done Right
• Multimodal Data Representations with Parameterized Local Structures
• The Relevance of Non-generic Events in Scale Space Models
• The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion
• Resolution Selection Using Generalized Entropies of Multiresolution Histograms
• Robust Computer Vision through Kernel Density Estimation
• Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
• A Hierarchical Framework for Spectral Correspondence
• Phase-Based Local Features
• What Is the Role of Independence for Visual Recognition?
• A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
• Toward a Full Probability Model of Edges in Natural Images
• Fast Difference Schemes for Edge Enhancing Beltrami Flow
• A Fast Radial Symmetry Transform for Detecting Points of Interest
• Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
• Representing Edge Models via Local Principal Component Analysis
• Regularized Shock Filters and Complex Diffusion
• Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"
• Parameter Estimates for a Pencil of Lines: Bounds and Estimators
• Multilinear Analysis of Image Ensembles: TensorFaces
• 'Dynamism of a Dog on a Leash' or Behavior Classification by Eigen-Decomposition of Periodic Motions
• Automatic Detection and Tracking of Human Motion with a View-Based Representation
• Using Robust Estimation Algorithms for Tracking Explicit Curves
• On the Motion and Appearance of Specularities in Image Sequences
• Multiple Hypothesis Tracking for Automatic Optical Motion Capture
• Single Axis Geometry by Fitting Conics
• Computing the Physical Parameters of Rigid-Body Motion from Video
• Building Roadmaps of Local Minima of Visual Models
• A Generative Method for Textured Motion: Analysis and Synthesis
• Is Super-Resolution with Optical Flow Feasible?
• New View Generation with a Bi-centric Camera
• Recognizing and Tracking Human Action
• Towards Improved Observation Models for Visual Tracking: Selective Adaptation
• Color-Based Probabilistic Tracking
• Dense Motion Analysis in Fluid Imagery
• A Layered Motion Representation with Occlusion and Compact Spatial Support
• Incremental Singular Value Decomposition of Uncertain Data with Missing Values
• Symmetrical Dense Optical Flow Estimation with Occlusions Detection
• Audio-Video Sensor Fusion with Probabilistic Graphical Models
• Visual Motion
• Increasing Space-Time Resolution in Video
• Hyperdynamics Importance Sampling
• Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
• Space-Time Tracking.