Pattern Recognition 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hamprecht, Fred A. (Επιμελητής έκδοσης), Schnörr, Christoph (Επιμελητής έκδοσης), Jähne, Bernd (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Computer Science, 4713
• Θέματα: Computer science.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Computer Graphics.; Algorithm Analysis and Problem Complexity.

 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 Detection Capability -- 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.