Pattern Recognition

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 for Automotive 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.