E-raamat: Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings

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.