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Pattern recognition : 29th DAGM symposium, Heidelberg, Germany, September 12-14, 2007 : proceedings

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Cover of 'Pattern recognition : 29th DAGM symposium, Heidelberg, Germany, September 12-14, 2007 : proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Self-calibration with Partially Known Rotations
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    Chapter 2 A Combined Approach for Estimating Patchlets from PMD Depth Images and Stereo Intensity Images
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    Chapter 3 View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results
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    Chapter 4 Clustered Stochastic Optimization for Object Recognition and Pose Estimation
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    Chapter 5 Unambiguous Dynamic Diffraction Patterns for 3D Depth Profile Measurement
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    Chapter 6 Point Matching Constraints in Two and Three Views
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    Chapter 7 A Multi-view Camera System for the Generation of Real-Time Occlusion-Free Scene Video
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    Chapter 8 Selection of Local Optical Flow Models by Means of Residual Analysis
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    Chapter 9 Calibration of a Multi-camera Rig from Non-overlapping Views
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    Chapter 10 Fluid Flow Estimation Through Integration of Physical Flow Configurations
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    Chapter 11 Rigid Motion Constraints for Tracking Planar Objects
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    Chapter 12 Detectability of Moving Objects Using Correspondences over Two and Three Frames
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    Chapter 13 An Analysis-by-Synthesis Camera Tracking Approach Based on Free-Form Surfaces
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    Chapter 14 An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections
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    Chapter 15 Bayesian Model Selection for Optical Flow Estimation
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    Chapter 16 Illumination-Robust Variational Optical Flow with Photometric Invariants
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    Chapter 17 Online Smoothing for Markerless Motion Capture
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    Chapter 18 Occlusion Modeling by Tracking Multiple Objects
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    Chapter 19 Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination
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    Chapter 20 Recursive Estimation with Implicit Constraints
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    Chapter 21 Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space
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    Chapter 22 A Duality Based Approach for Realtime TV- L 1 Optical Flow
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    Chapter 23 Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
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    Chapter 24 Regularized Data Fusion Improves Image Segmentation
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    Chapter 25 Perception-Based Image Segmentation Using the Bounded Irregular Pyramid
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    Chapter 26 Efficient Image Segmentation Using Pairwise Pixel Similarities
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    Chapter 27 WarpCut – Fast Obstacle Segmentation in Monocular Video
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    Chapter 28 Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces
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    Chapter 29 High Accuracy Feature Detection for Camera Calibration: A Multi-steerable Approach
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    Chapter 30 A Subiteration-Based Surface-Thinning Algorithm with a Period of Three
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    Chapter 31 Holomorphic Filters for Object Detection
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    Chapter 32 Peer Group Vector Median Filter
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    Chapter 33 Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction
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    Chapter 34 The Minimum Volume Ellipsoid Metric
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    Chapter 35 An Attentional Approach for Perceptual Grouping of Spatially Distributed Patterns
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    Chapter 36 Classifying Glaucoma with Image-Based Features from Fundus Photographs
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    Chapter 37 Learning to Recognize Faces Incrementally
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    Chapter 38 Short-Term Tide Prediction
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    Chapter 39 Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach
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    Chapter 40 Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
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    Chapter 41 How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
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    Chapter 42 A Fast and Reliable Coin Recognition System
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    Chapter 43 3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition
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    Chapter 44 The kernelHMM : Learning Kernel Combinations in Structured Output Domains
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    Chapter 45 Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
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    Chapter 46 Pedestrian Recognition from a Moving Catadioptric Camera
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    Chapter 47 Efficient Learning of Neural Networks with Evolutionary Algorithms
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    Chapter 48 Robust High-Speed Melt Pool Measurements for Laser Welding with Sputter Detection Capability
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    Chapter 49 Learning Robust Objective Functions with Application to Face Model Fitting
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    Chapter 50 Analyzing the Variability of the 3D Structure of Chromatin Fiber Using Statistical Shape Theory
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    Chapter 51 Image-Matching for Revision Detection in Printed Historical Documents
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    Chapter 52 Pattern Recognition
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    Chapter 53 Curvature Guided Level Set Registration Using Adaptive Finite Elements
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    Chapter 54 Spline-Based Elastic Image Registration with Matrix-Valued Basis Functions Using Landmark and Intensity Information
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    Chapter 55 Unifying Energy Minimization and Mutual Information Maximization for Robust 2D/3D Registration of X-Ray and CT Images
Overall attention for this book and its chapters
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Title
Pattern recognition : 29th DAGM symposium, Heidelberg, Germany, September 12-14, 2007 : proceedings
Published by
Springer, January 2007
DOI 10.1007/978-3-540-74936-3
ISBNs
978-3-54-074933-2, 978-3-54-074936-3
Authors

Hamprecht, Fred A, Schnörr, Christoph, Jähne, Bernd

Editors

Hamprecht, Fred A., Schnörr, Christoph, Jähne, Bernd

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 9%
Unknown 10 91%
Readers by discipline Count As %
Computer Science 1 9%
Unknown 10 91%