Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings: Lecture Notes in Computer Science, cartea 4713

Calibration, Pose Estimation and Depth.- Self-calibration with Partially Known Rotations.- A Combined Approach for Estimating Patchlets from PMD Depth Images and Stereo Intensity Images.- View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results.- Clustered Stochastic Optimization for Object Recognition and Pose Estimation.- Unambiguous Dynamic Diffraction Patterns for 3D Depth Profile Measurement.- Point Matching Constraints in Two and Three Views.- A Multi-view Camera System for the Generation of Real-Time Occlusion-Free Scene Video.- Motion, Tracking and Optical Flow.- Selection of Local Optical Flow Models by Means of Residual Analysis.- Calibration of a Multi-camera Rig from Non-overlapping Views.- Fluid Flow Estimation Through Integration of Physical Flow Configurations.- Rigid Motion Constraints for Tracking Planar Objects.- Detectability of Moving Objects Using Correspondences over Two and Three Frames.- An Analysis-by-Synthesis Camera Tracking Approach Based on Free-Form Surfaces.- An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections.- Bayesian Model Selection for Optical Flow Estimation.- Illumination-Robust Variational Optical Flow with Photometric Invariants.- Online Smoothing for Markerless Motion Capture.- Occlusion Modeling by Tracking Multiple Objects.- Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination.- Recursive Estimation with Implicit Constraints.- Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space.- A Duality Based Approach for Realtime TV-L 1 Optical Flow.- Segmentation.- Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields.- Regularized Data Fusion Improves Image Segmentation.- Perception-Based Image Segmentation Using the Bounded Irregular Pyramid.- Efficient Image Segmentation Using Pairwise Pixel Similarities.- WarpCut – Fast Obstacle Segmentation in Monocular Video.- Filters and Image Improvement.- Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces.- High Accuracy Feature Detection for Camera Calibration: A Multi-steerable Approach.- A Subiteration-Based Surface-Thinning Algorithm with a Period of Three.- Holomorphic Filters for Object Detection.- Peer Group Vector Median Filter.- Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction.- Object and Pattern Recognition.- The Minimum Volume Ellipsoid Metric.- An Attentional Approach for Perceptual Grouping of Spatially Distributed Patterns.- Classifying Glaucoma with Image-Based Features from Fundus Photographs.- Learning to Recognize Faces Incrementally.- Short-Term Tide Prediction.- Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach.- Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification.- How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements.- A Fast and Reliable Coin Recognition System.- 3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition.- The kernelHMM: Learning Kernel Combinations in Structured Output Domains.- Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts.- Pedestrian Recognition from a Moving Catadioptric Camera.- Efficient Learning of Neural Networks with Evolutionary Algorithms.- Robust High-Speed Melt Pool Measurements for Laser Welding with Sputter DetectionCapability.- Learning Robust Objective Functions with Application to Face Model Fitting.- Analyzing the Variability of the 3D Structure of Chromatin Fiber Using Statistical Shape Theory.- Registration.- Image-Matching for Revision Detection in Printed Historical Documents.- Stochastic Optimization of Multiple Texture Registration Using Mutual Information.- Curvature Guided Level Set Registration Using Adaptive Finite Elements.- Spline-Based Elastic Image Registration with Matrix-Valued Basis Functions Using Landmark and Intensity Information.- Unifying Energy Minimization and Mutual Information Maximization for Robust 2D/3D Registration of X-Ray and CT Images.