Pattern Recognition

Geometry and Calibration.- 3D Reconstruction Using an n-Layer Heightmap.- Real-Time Dense Geometry from a Handheld Camera.- From Single Cameras to the Camera Network: An Auto-Calibration Framework for Surveillance.- Active Self-calibration of Multi-camera Systems.- Poster Session I.- Optimization on Shape Curves with Application to Specular Stereo.- Unsupervised Facade Segmentation Using Repetitive Patterns.- Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model.- Estimating Force Fields of Living Cells - Comparison of Several Regularization Schemes Combined with Automatic Parameter Choice.- Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes.- Robust Identification of Locally Planar Objects Represented by 2D Point Clouds under Affine Distortions.- Model-Based Recognition of Domino Tiles Using TGraphs.- Slicing the View: Occlusion-Aware View-Based Robot Navigation.- A Contour Matching Algorithm to Reconstruct Ruptured Documents.- Local Structure Analysis by Isotropic Hilbert Transforms.- Complex Motion Models for Simple Optical Flow Estimation.- Tracking People in Broadcast Sports.- A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing.- Inpainting in Multi-image Stereo.- Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy.- Learning Non-stationary System Dynamics Online Using Gaussian Processes.- Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma.- Recognition.- Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies.- VF-SIFT: Very Fast SIFT Feature Matching.- One-Shot Learning of Object Categories Using Dependent Gaussian Processes.- Learning andOptimization.- Uncertainty Driven Multi-scale Optimization.- The Group-Lasso: ?1,??? Regularization versus ?1,2 Regularization.- Random Fourier Approximations for Skewed Multiplicative Histogram Kernels.- Gaussian Mixture Modeling with Gaussian Process Latent Variable Models.- Applications.- Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data.- Catheter Tracking: Filter-Based vs. Learning-Based.- Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization.- Poster Session II.- A Convex Approach for Variational Super-Resolution.- Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation.- A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries.- Wavelet-Based Inpainting for Object Removal from Image Series.- An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.- N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments ,.- Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects.- Benchmarking Stereo Data (Not the Matching Algorithms).- Robust Open-Set Face Recognition for Small-Scale Convenience Applications.- Belief Propagation for Improved Color Assessment in Structured Light.- 3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation.- Matte Super-Resolution for Compositing.- An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval.- A Novel Curvature Estimator for Digital Curves and Images.- Local Regression Based Statistical Model Fitting.- Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation.- Motion.- Geometrically Constrained Level Set Tracking forAutomotive Applications.- Interactive Motion Segmentation.- On-Line Multi-view Forests for Tracking.- Low-Level Vision and Features.- Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes.- A Stochastic Evaluation of the Contour Strength.- Incremental Computation of Feature Hierarchies.- From Box Filtering to Fast Explicit Diffusion.- Surfaces and Materials.- High-Resolution Object Deformation Reconstruction with Active Range Camera.- Selection of an Optimal Polyhedral Surface Model Using the Minimum Description Length Principle.- Learning of Optimal Illumination for Material Classification.