Empirical Evaluation Methods In Computer Vision

By: Henrik I Christensen, P Jonathon Phillips

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Hardcover | 31 July 2002

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172 Pages

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22.86 x 15.24 x 1.91

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This text provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance. The work contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.

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Foreword	p. v
Contents	p. vii
Automated Performance Evaluation of Range Image Segmentation Algorithms	p. 1
Introduction	p. 2
Scoring the Segmented Regions	p. 2
Segmentation Performance Curves	p. 4
Training of Algorithm Parameters	p. 6
Train-and-Test Performance Evaluation	p. 9
Training Stage	p. 12
Testing Stage	p. 15
Summary and Discussion	p. 18
References	p. 21
Training/Test Data Partitioning for Empirical Performance Evaluation	p. 23
Introduction	p. 23
Formal Problem Definition	p. 25
Distance Function	p. 26
Computational Complexity	p. 27
Genetic Search Algorithm	p. 28
A Testbed	p. 30
Experimental Results	p. 32
Conclusions	p. 35
References	p. 36
Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures	p. 39
Introduction	p. 40
The FERET Database	p. 41
Distance Measures	p. 41
Adding Distance Measures	p. 42
Distance Measure Aggregation	p. 43
Correlating Distance Metrics	p. 44
When Is a Difference Significant	p. 45
Selecting Eigenvectors	p. 49
Removing the Last Eigenvectors	p. 50
Removing the First Eigenvector	p. 51
Eigenvalue Ordered by Like-Image Difference	p. 52
Variation Associated with Different Test/Training Sets	p. 53
Conclusion	p. 56
References	p. 59
Design of a Visual System for Detecting Natural Events by the Use of an Independent Visual Estimate: A Human Fall Detector	p. 61
Introduction	p. 61
Approach	p. 62
Data Collection	p. 65
Velocity Estimation	p. 65
Colour Segmentation and Velocity Estimation	p. 66
IR Velocity Estimation	p. 70
Velocity Correlation	p. 72
Data combination	p. 73
Conclusions	p. 79
Neural Network Fall Detector	p. 80
Data Preparation, Network Design, and Training	p. 80
Testing	p. 81
Conclusions	p. 85
References	p. 87
Task-Based Evaluation of Image Filtering within a Class of Geometry-Driven-Diffusion Algorithms	p. 89
Introduction	p. 89
Nonlinear Geometry-Driven Diffusion Methods of Image Filtering	p. 90
Diffusion-Like Ideal Filtering of a Noise Corrupted Piecewise Constant Image Phantom	p. 93
Stochastic Model of the Piecewise Constant Image Phantom Corrupted by Gaussian Noise	p. 95
Estimates of Probability Distribution Parameters for Characterization of Filtering Results	p. 96
Implementation results	p. 101
Conclusions	p. 108
References	p. 113
A Comparative Analysis of Cross-Correlation Matching Algorithms Using a Pyramidal Resolution Approach	p. 117
Introduction	p. 118
Area Based Matching Algorithms	p. 119
Cross-Correlation Algorithms	p. 122
Pyramidal Processing Scheme	p. 125
Number of Layers	p. 127
Decimation Function	p. 127
Matching Process	p. 128
Interpolation	p. 129
Disparity Maps	p. 130
Experimental Results	p. 130
Experiment Layout	p. 130
Disparity Maps	p. 132
Disparity Error	p. 133
Computational Load	p. 136
Conclusion	p. 141
References	p. 141
Performance Evaluation of Medical Image Processing Algorithms	p. 143
Introduction	p. 143
Presentations	p. 144
New NCI Initiatives in Computer-Aided Diagnosis	p. 144
Performance Characterization of Image and Video Analysis Systems at Siemens Corporate Research	p. 145
Validating Registration Algorithms: A Case Study	p. 146
Performance Evaluation of Image Processing Algorithms in Medicine: A Clinical Perspective	p. 150
Performance Evaluation: Points for Discussion	p. 152
Panel Discussion	p. 154
References	p. 158
Table of Contents provided by Ingram. All Rights Reserved.

Empirical Evaluation Methods In Computer Vision

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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