Pattern Recognition

29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings

Häftad, Engelska, 2007

Av Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne

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This book constitutes the refereed proceedings of the 29th Symposium of the German Association for Pattern Recognition, DAGM 2007. It covers image filtering, restoration and segmentation, shape analysis and representation, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, motion analysis and tracking, stereo and structure from motion, as well as 3D view registration and surface modeling.

Produktinformation

Utgivningsdatum2007-09-05
Mått155 x 235 x 31 mm
Vikt861 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor560
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540749332

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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.