Computer Vision -- ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part II: Lecture Notes in Computer Science, cartea 3952

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.