Computer Vision -- ECCV 2006, 2006 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part I Image Processing, Computer Vision, Pattern Recognition, and Graphics Series

Recognition I.- TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation.- Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition.- Hyperfeatures – Multilevel Local Coding for Visual Recognition.- Statistical Models and Visual Learning.- Riemannian Manifold Learning for Nonlinear Dimensionality Reduction.- Controlling Sparseness in Non-negative Tensor Factorization.- Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion.- Poster Session I.- Degen Generalized Cylinders and Their Properties.- Geodesics Between 3D Closed Curves Using Path-Straightening.- Robust Homography Estimation from Planar Contours Based on Convexity.- Detecting Instances of Shape Classes That Exhibit Variable Structure.- Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points.- Estimation of Multiple Periodic Motions from Video.- Robust Multi-body Motion Tracking Using Commute Time Clustering.- A Tuned Eigenspace Technique for Articulated Motion Recognition.- Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality.- A Fluid Motion Estimator for Schlieren Image Velocimetry.- Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection.- Geometry and Kinematics with Uncertain Data.- Euclidean Structure from N ? 2 Parallel Circles: Theory and Algorithms.- Overconstrained Linear Estimation of Radial Distortion and Multi-view Geometry.- Camera Calibration with Two Arbitrary Coaxial Circles.- Molding Face Shapes by Example.- Reconstruction of Canal Surfaces from Single Images Under Exact Perspective.- Subspace Estimation Using Projection Based M-Estimators over Grassmann Manifolds.- Learning 2D Hand Shapes Using the Topology Preservation Model GNG.- Towards Optimal Training of Cascaded Detectors.- Learning and Incorporating Top-Down Cues in Image Segmentation.- Learning to Detect Objects of Many Classes Using Binary Classifiers.- A Unifying Framework for Mutual Information Methods for Use in Non-linear Optimisation.- Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement.- From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage.- SURF: Speeded Up Robust Features.- Top-Points as Interest Points for Image Matching.- Machine Learning for High-Speed Corner Detection.- Smooth Image Segmentation by Nonparametric Bayesian Inference.- Shape Analysis and Fuzzy Control for 3D Competitive Segmentation of Brain Structures with Level Sets.- Variational Motion Segmentation with Level Sets.- Ellipse Fitting with Hyperaccuracy.- A Physically-Motivated Deformable Model Based on Fluid Dynamics.- Video and Image Bayesian Demosaicing with a Two Color Image Prior.- Generalized Multi-sensor Planning.- Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints.- Specularity Removal in Images and Videos: A PDE Approach.- 3D Reconstruction and Multi-view Geometry.- Carved Visual Hullsfor Image-Based Modeling.- What Is the Range of Surface Reconstructions from a Gradient Field?.- Practical Global Optimization for Multiview Geometry.- Perspective n-View Multibody Structure-and-Motion Through Model Selection.- Confocal Stereo.