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Computer Vision - ECCV 2002 : 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part I / edited by Anders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Heyden, Anders, editor.
Sparr, Gunnar, editor.
Nielsen, Mads, editor.
Johansen, Peter, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2350.
Lecture Notes in Computer Science, 0302-9743 ; 2350
Language:
English
Subjects (All):
Optical data processing.
Computer graphics.
Pattern perception.
Artificial intelligence.
Image Processing and Computer Vision.
Computer Graphics.
Pattern Recognition.
Artificial Intelligence.
Local Subjects:
Image Processing and Computer Vision.
Computer Graphics.
Pattern Recognition.
Artificial Intelligence.
Physical Description:
1 online resource (XXVIII, 820 pages).
Edition:
First edition 2002.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
System Details:
text file PDF
Summary:
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 privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year's conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the ?nal selection, for the ?rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors'identity.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-540-47969-7
9783540479697
Access Restriction:
Restricted for use by site license.

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