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Pattern Recognition

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Inhalt Learning.- Predictive Discretization During Model Selection.- Adaptive Feature Selection in Image Segmentation.- Semi-super... Weiterlesen
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Beschreibung

Inhalt

Learning.- Predictive Discretization During Model Selection.- Adaptive Feature Selection in Image Segmentation.- Semi-supervised Kernel Regression Using Whitened Function Classes.- Bayesian Approaches.- Fast Monocular Bayesian Detection of Independently Moving Objects by a Moving Observer.- Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk.- Vision and Faces.- 3D Head Pose Estimation with Symmetry Based Illumination Model in Low Resolution Video.- Efficient Approximations for Support Vector Machines in Object Detection.- Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features.- Vision / Motion.- Differential Analysis of Two Model-Based Vehicle Tracking Approaches.- Efficient Computation of Optical Flow Using the Census Transform.- Hybrid Model-Based Estimation of Multiple Non-dominant Motions.- Biologically Motivated Approaches.- A Model of Motion, Stereo, and Monocular Depth Perception.- POI Detection Using Channel Clustering and the 2D Energy Tensor.- Segmentation.- 3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model.- Hierarchical Image Segmentation Based on Semidefinite Programming.- Fast Random Sample Matching of 3d Fragments.- Object Recognition.- Invariants for Discrete Structures - An Extension of Haar Integrals over Transformation Groups to Dirac Delta Functions.- Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search.- Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching.- Object Recognition / Synthesis.- Estimation of Multiple Orientations at Corners and Junctions.- Phase Based Image Reconstruction in the Monogenic Scale Space.- Synthesizing Movements for Computer Game Characters.- Poster Session.- MinOver Revisited for Incremental Support-Vector-Classification.- A Semantic Typicality Measure for Natural Scene Categorization.- Tunable Nearest Neighbor Classifier.- SVM-Based Feature Selection by Direct Objective Minimisation.- Learning with Distance Substitution Kernels.- Features for Image Retrieval: A Quantitative Comparison.- Learning from Labeled and Unlabeled Data Using Random Walks.- Learning Depth from Stereo.- Learning to Find Graph Pre-images.- Multivariate Regression via Stiefel Manifold Constraints.- Hilbertian Metrics on Probability Measures and Their Application in SVM's.- Shape from Shading Under Coplanar Light Sources.- Pose Estimation for Multi-camera Systems.- Silhouette Based Human Motion Estimation.- Cooperative Optimization for Energy Minimization in Computer Vision: A Case Study of Stereo Matching.- Building a Motion Resolution Pyramid by Combining Velocity Distributions.- A Stratified Self-Calibration Method for a Stereo Rig in Planar Motion with Varying Intrinsic Parameters.- Efficient Feature Tracking for Long Video Sequences.- Recognition of Deictic Gestures with Context.- Mosaics from Arbitrary Stereo Video Sequences.- Accurate and Efficient Approximation of the Continuous Gaussian Scale-Space.- Multi-step Entropy Based Sensor Control for Visual Object Tracking.- Spatio-temporal Segmentation Using Laserscanner and Video Sequences.- Fast Statistically Geometric Reasoning About Uncertain Line Segments in 2D- and 3D-Space.- A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms.- Modelling Spikes with Mixtures of Factor Analysers.- An Algorithm for Fast Pattern Recognition with Random Spikes.- The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion.- Level Set Based Image Segmentation with Multiple Regions.- CVPIC Colour/Shape Histograms for Compressed Domain Image Retrieval.- The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence.- A Higher Order MRF-Model for Stereo-Reconstruction.- Adaptive Computer Vision: Online Learning for Object Recognition.- Robust Pose Estimation for Arbitrary Objects in Complex Scenes.- Vectorization-Free Reconstruction of 3D CAD Models from Paper Drawings.- Globally Consistent 3-D Reconstruction by Utilizing Loops in Camera Movement.- A Probabilistic Framework for Robust and Accurate Matching of Point Clouds.- Large Vocabulary Audio-Visual Speech Recognition Using the Janus Speech Recognition Toolkit.- Lesion Preserving Image Registration with Applications to Human Brains.- Snake-Aided Automatic Organ Delineation.- Practical Gaze Point Detecting System.- Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems.- Feature and Viewpoint Selection for Industrial Car Assembly.- Automating Microscope Colour Image Analysis Using the Expectation Maximisation Algorithm.- Camera Orientation of Mars Express Using DTM Information.- Detection and Classification of Gateways for the Acquisition of Structured Robot Maps.- Real Time High Speed Measurement of Photogrammetric Targets.- A Simple New Method for Precise Lens Distortion Correction of Low Cost Camera Systems.

Produktinformationen

Titel: Pattern Recognition
Untertitel: 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings
Editor:
EAN: 9783540286493
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: Anwendungs-Software
Veröffentlichung: 10.08.2004
Digitaler Kopierschutz: Wasserzeichen
Anzahl Seiten: 586

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