Computer Vision - ECCV 2002: 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part I (Lecture Notes in Computer Science (2350)) - Erstausgabe

EAN (ISBN-13): 9783540437451
ISBN (ISBN-10): 3540437452
Taschenbuch
Erscheinungsjahr: 2002
Herausgeber: Heyden, Anders, Sparr, Gunnar, Nielsen, Mads, Johansen, Peter, Springer

Buch in der Datenbank seit 2008-02-25T02:57:52+01:00 (Berlin)
Detailseite zuletzt geändert am 2022-02-08T17:51:17+01:00 (Berlin)
ISBN/EAN: 9783540437451

ISBN - alternative Schreibweisen:
3-540-43745-2, 978-3-540-43745-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: sparr, nielsen, peter anders
Titel des Buches: computer vision, denmark, european conference artificial intelligence, encyclopédie diderot alembert, copenhagen

---

Daten vom Verlag:

Autor/in: Anders Heyden; Gunnar Sparr; Mads Nielsen; Peter Johansen
Titel: Lecture Notes in Computer Science; Computer Vision - ECCV 2002 - 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part I
Verlag: Springer; Springer Berlin
820 Seiten
Erscheinungsjahr: 2002-05-17
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Deutschland.
Gewicht: 1,040 kg
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
106,60 CHF (CH)
Not available, publisher indicates OP

BC; Book; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Bildverarbeitung; Verstehen; shape reconstruction; 3D reconstruction; Stereo; object recognition; learning; computational geometry; cognition; geometric computation; calibration; stereo vision; robot; camera calibration; motion tracking; shading; computer vision; C; Image Processing and Computer Vision; Computer Science; Computer Graphics; Pattern Recognition; Artificial Intelligence (incl. Robotics); Maschinelles Sehen, Bildverstehen; Grafikprogrammierung; Mustererkennung; Künstliche Intelligenz; Robotik; EA

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.