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

Pattern Recognition 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings / edited by Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne.

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hamprecht, Fred A. (Editor), Schnörr, Christoph (Editor), Jähne, Bernd (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4713
Springer eBook Collection.
Subjects:
Pattern recognition.
Optical data processing.
Artificial intelligence.
Computer graphics.
Algorithms.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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