Computer Vision – ECCV 2006 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006. Proceedings, Part II /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
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Σειρά: | Lecture Notes in Computer Science,
3952 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Energy Minimization
- Comparison of Energy Minimization Algorithms for Highly Connected Graphs
- A Comparative Study of Energy Minimization Methods for Markov Random Fields
- Measuring Uncertainty in Graph Cut Solutions – Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts
- Tracking and Motion
- Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements
- Simultaneous Object Pose and Velocity Computation Using a Single View from a Rolling Shutter Camera
- A Theory of Multiple Orientation Estimation
- Poster Session II
- Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
- High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
- Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
- Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity
- Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
- Multiview Geometry and 3D Reconstruction
- Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation
- Shape-from-Silhouette with Two Mirrors and an Uncalibrated Camera
- Robust and Efficient Photo-Consistency Estimation for Volumetric 3D Reconstruction
- An Affine Invariant of Parallelograms and Its Application to Camera Calibration and 3D Reconstruction
- Nonrigid Shape and Motion from Multiple Perspective Views
- 3D Surface Reconstruction Using Graph Cuts with Surface Constraints
- Statistical Models and Visual Learning
- Trace Quotient Problems Revisited
- Learning Nonlinear Manifolds from Time Series
- Accelerated Convergence Using Dynamic Mean Shift
- Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
- Non Linear Temporal Textures Synthesis: A Monte Carlo Approach
- Low-Level Vision, Image Features
- Curvature-Preserving Regularization of Multi-valued Images Using PDE’s
- Higher Order Image Pyramids
- Image Specific Feature Similarities
- Coloring Local Feature Extraction
- Defocus Inpainting
- Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions
- Face/Gesture/Action Detection and Recognition
- Spatio-temporal Embedding for Statistical Face Recognition from Video
- Super-Resolution of 3D Face
- Estimating Gaze Direction from Low-Resolution Faces in Video
- Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition
- Human Detection Using Oriented Histograms of Flow and Appearance
- Cyclostationary Processes on Shape Spaces for Gait-Based Recognition
- Segmentation and Grouping
- Multiclass Image Labeling with Semidefinite Programming
- Automatic Image Segmentation by Positioning a Seed
- Patch-Based Texture Edges and Segmentation
- Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
- Detecting Symmetry and Symmetric Constellations of Features
- Discovering Texture Regularity as a Higher-Order Correspondence Problem
- Object Recognition, Retrieval and Indexing
- Exploiting Model Similarity for Indexing and Matching to a Large Model Database
- Shift-Invariant Dynamic Texture Recognition
- Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
- A Boundary-Fragment-Model for Object Detection
- Region Covariance: A Fast Descriptor for Detection and Classification
- Segmentation
- Affine-Invariant Multi-reference Shape Priors for Active Contours
- Figure/Ground Assignment in Natural Images
- Background Cut
- PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts.