Computer Vision - ECCV 2004 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part III /
Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations w...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2004.
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| Σειρά: | Lecture Notes in Computer Science,
3023 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Learning and Recognition
- A Constrained Semi-supervised Learning Approach to Data Association
- Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length
- Decision Theoretic Modeling of Human Facial Displays
- Kernel Feature Selection with Side Data Using a Spectral Approach
- Tracking II
- Tracking Articulated Motion Using a Mixture of Autoregressive Models
- Novel Skeletal Representation for Articulated Creatures
- An Accuracy Certified Augmented Reality System for Therapy Guidance
- Posters III
- 3D Human Body Tracking Using Deterministic Temporal Motion Models
- Robust Fitting by Adaptive-Scale Residual Consensus
- Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures
- An Adaptive Window Approach for Image Smoothing and Structures Preserving
- Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
- Are Iterations and Curvature Useful for Tensor Voting?
- A Feature-Based Approach for Determining Dense Long Range Correspondences
- Combining Geometric- and View-Based Approaches for Articulated Pose Estimation
- Shape Matching and Recognition – Using Generative Models and Informative Features
- Generalized Histogram: Empirical Optimization of Low Dimensional Features for Image Matching
- Recognizing Objects in Range Data Using Regional Point Descriptors
- Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
- Structure and Motion Problems for Multiple Rigidly Moving Cameras
- Detection and Tracking Scheme for Line Scratch Removal in an Image Sequence
- Color Constancy Using Local Color Shifts
- Image Anisotropic Diffusion Based on Gradient Vector Flow Fields
- Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
- Learning to Segment
- MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points
- Bayesian Correction of Image Intensity with Spatial Consideration
- Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
- Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
- Evaluation of Image Fusion Performance with Visible Differences
- An Information-Based Measure for Grouping Quality
- Bias in Shape Estimation
- Contrast Marginalised Gradient Template Matching
- The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition
- Partial Object Matching with Shapeme Histograms
- Modeling and Synthesis of Facial Motion Driven by Speech
- Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid
- Structure of Applicable Surfaces from Single Views
- Joint Bayes Filter: A Hybrid Tracker for Non-rigid Hand Motion Recognition
- Iso-disparity Surfaces for General Stereo Configurations
- Camera Calibration with Two Arbitrary Coplanar Circles
- Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features
- A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images
- A Correlation-Based Approach to Robust Point Set Registration
- Hierarchical Organization of Shapes for Efficient Retrieval
- Information-Based Image Processing
- Intrinsic Images by Entropy Minimization
- Image Similarity Using Mutual Information of Regions.
