This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006. The book presents 32 revised full papers and 44 revised poster papers together with 5 invited papers. Topical sections include image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, and more.

Inhalt

Image Filtering, Restoration and Segmentation.- Ultrasound Image Denoising by Spatially Varying Frequency Compounding.- Exploiting Low-Level Image Segmentation for Object Recognition.- Wavelet Based Noise Reduction by Identification of Correlations.- Template Based Gibbs Probability Distributions for Texture Modeling and Segmentation.- Efficient Combination of Probabilistic Sampling Approximations for Robust Image Segmentation.- Diffusion-Like Reconstruction Schemes from Linear Data Models.- Reduction of Ring Artifacts in High Resolution X-Ray Microtomography Images.- A Probabilistic Multi-phase Model for Variational Image Segmentation.- Provably Correct Edgel Linking and Subpixel Boundary Reconstruction.- The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images.- From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering.- Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration.- Shape Analysis and Representation.- On-Line, Incremental Learning of a Robust Active Shape Model.- Using Irreducible Group Representations for Invariant 3D Shape Description.- Shape Matching by Variational Computation of Geodesics on a Manifold.- A Modification of the Level Set Speed Function to Bridge Gaps in Data.- Generation and Initialization of Stable 3D Mass-Spring Models for the Segmentation of the Thyroid Cartilage.- Preserving Topological Information in the Windowed Hough Transform for Rectangle Extraction.- Recognition, Categorization and Detection.- Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification.- Integrating Recognition and Reconstruction for Cognitive Traffic Scene Analysis from a Moving Vehicle.- Sparse Patch-Histograms for Object Classification in Cluttered Images.- An Object-Oriented Approach Using a Top-Down and Bottom-Up Process for Manipulative Action Recognition.- Detecting Intrinsically Two-Dimensional Image Structures Using Local Phase.- Towards Unsupervised Discovery of Visual Categories.- Cross-Articulation Learning for Robust Detection of Pedestrians.- Analysis on a Local Approach to 3D Object Recognition.- Phase Based 3D Texture Features.- Learning of Graphical Models and Efficient Inference for Object Class Recognition.- Properties of Patch Based Approaches for the Recognition of Visual Object Classes.- Computer Vision and Image Retrieval.- Feature Selection for Automatic Image Annotation.- Image Database Navigation on a Hierarchical MDS Grid.- Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision.- Facial Expression Modelling from Still Images Using a Single Generic 3D Head Model.- Extraction of Haar Integral Features on Omnidirectional Images: Application to Local and Global Localization.- Machine Learning and Statistical Data Analysis.- Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information.- Importance-Weighted Cross-Validation for Covariate Shift.- Parameterless Isomap with Adaptive Neighborhood Selection.- Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels.- Multi-scale Bayesian Based Horizon Matchings Across Faults in 3d Seismic Data.- Biomedical Data Analysis.- Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity.- Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals.- Optimizing Spectral Filters for Single Trial EEG Classification.- Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions.- Motion Analysis and Tracking.- Direct Estimation of the Wall Shear Rate Using Parametric Motion Models in 3D.- On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization.- Near Real-Time Motion Segmentation Using Graph Cuts.- Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization.- Realtime Depth Estimation and Obstacle Detection from Monocular Video.- 3D Human Motion Sequences Synchronization Using Dense Matching Algorithm.- Cloth X-Ray: MoCap of People Wearing Textiles.- Unconstrained Multiple-People Tracking.- Robust Non-rigid Object Tracking Using Point Distribution Manifolds.- A Variational Approach to Joint Denoising, Edge Detection and Motion Estimation.- Multi-step Multi-camera View Planning for Real-Time Visual Object Tracking.- Pose Recognition.- Nonparametric Density Estimation for Human Pose Tracking.- Learning to Mimic Motion of Human Arm and Hand Grabbing for Constraint Adaptation.- Visual Hand Posture Recognition in Monocular Image Sequences.- Monocular Body Pose Estimation by Color Histograms and Point Tracking.- Pose Estimation from Uncertain Omnidirectional Image Data Using Line-Plane Correspondences.- Kernel Particle Filter for Visual Quality Inspection from Monocular Intensity Images.- Stereo and Structure from Motion.- Monocular 3D Scene Reconstruction at Absolute Scales by Combination of Geometric and Real-Aperture Methods.- An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation.- Tracking Camera Parameters of an Active Stereo Rig.- Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition.- Multi-view Image and Geometric Processing.- The Inversion Camera Model.- Determining an Initial Image Pair for Fixing the Scale of a 3D Reconstruction from an Image Sequence.- Multi-camera Radiometric Surface Modelling for Image-Based Re-lighting.- A Multiple Graph Cut Based Approach for Stereo Analysis.- Robust Variational Segmentation of 3D Objects from Multiple Views.- Online Calibration of Two Zoom-Pan-Tilt Units for Planar Dynamic Events.- Dense Stereo by Triangular Meshing and Cross Validation.- 3D View Registration and Surface Modelling.- Low-Cost Laser Range Scanner and Fast Surface Registration Approach.- A Point-Based Approach to PDE-Based Surface Reconstruction.- Robust Feature Representation for Efficient Camera Registration.- Reconstruction of Façade Structures Using a Formal Grammar and RjMCMC.- Stable Wave Detector of Blobs in Images.