Inhaltsverzeichnis
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 GameCharacters. - 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 fromDynamic 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.
