Pattern Recognition (häftad)
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Häftad (Paperback / softback)
Antal sidor
2006 ed.
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Franke, Katrin (ed.), Müller, Klaus-Robert (ed.), Nickolay, Bertram (ed.), Schäfer, Ralf (ed.)
XX, 784 p.
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1 Paperback / softback
Pattern Recognition (häftad)

Pattern Recognition

28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings

Häftad Engelska, 2006-09-01
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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.
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Bloggat om Pattern Recognition


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 Se