Template matching techniques in computer vision : theory and practice / Roberto Brunelli.

Format:

Book

Author/Creator:

Brunelli, Roberto, 1961-

Language:

English

Subjects (All):

Computer vision.

Template matching (Digital image processing).

Image processing--Digital techniques.

Image processing.

Optical pattern recognition.

Image analysis.

Physical Description:

1 online resource (350 p.)

Edition:

1st ed.

Place of Publication:

Chichester, West Sussex, U.K. ; Hoboken, NJ : Wiley, 2009.

Language Note:

English

Summary:

The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to

Contents:

Template Matching Techniques in Computer Vision; CONTENTS; Preface; 1 Introduction; 1.1 Template Matching and Computer Vision; 1.2 The Book; 1.3 Bibliographical Remarks; References; 2 The Imaging Process; 2.1 Image Creation; 2.1.1 Light; 2.1.2 Gathering Light; 2.1.3 Diffraction-limited Systems; 2.1.4 Quantum Noise; 2.2 Biological Eyes; 2.2.1 The Human Eye; 2.2.2 Alternative Designs; 2.3 Digital Eyes; 2.4 Digital Image Representations; 2.4.1 The Sampling Theorem; 2.4.2 Image Resampling; 2.4.3 Log-polar Mapping; 2.5 Bibliographical Remarks; References; 3 Template Matching as Testing

3.1 Detection and Estimation3.2 Hypothesis Testing; 3.2.1 The Bayes Risk Criterion; 3.2.2 The Neyman-Pearson Criterion; 3.3 An Important Example; 3.4 A Signal Processing Perspective: Matched Filters; 3.5 Pattern Variability and the Normalized Correlation Coefficient; 3.6 Estimation; 3.6.1 Maximum Likelihood Estimation; 3.6.2 Bayes Estimation; 3.6.3 James-Stein Estimation; 3.7 Bibliographical Remarks; References; 4 Robust Similarity Estimators; 4.1 Robustness Measures; 4.2 M-estimators; 4.3 L1 Similarity Measures; 4.4 Robust Estimation of Covariance Matrices; 4.5 Bibliographical Remarks

References5 Ordinal Matching Measures; 5.1 Ordinal Correlation Measures; 5.1.1 Spearman Rank Correlation; 5.1.2 Kendall Correlation; 5.1.3 Bhat-Nayar Correlation; 5.2 Non-parametric Local Transforms; 5.2.1 The Census and Rank Transforms; 5.2.2 Incremental Sign Correlation; 5.3 Bibliographical Remarks; References; 6 Matching Variable Patterns; 6.1 Multiclass Synthetic Discriminant Functions; 6.2 Advanced Synthetic Discriminant Functions; 6.3 Non-orthogonal Image Expansion; 6.4 Bibliographical Remarks; References; 7 Matching Linear Structure: The Hough Transform

7.1 Getting Shapes: Edge Detection7.2 The Radon Transform; 7.3 The Hough Transform: Line and Circle Detection; 7.4 The Generalized Hough Transform; 7.5 Bibliographical Remarks; References; 8 Low-dimensionality Representations and Matching; 8.1 Principal Components; 8.1.1 Probabilistic PCA; 8.1.2 How Many Components?; 8.2 A Nonlinear Approach: Kernel PCA; 8.3 Independent Components; 8.4 Linear Discriminant Analysis; 8.4.1 Bayesian Dual Spaces; 8.5 A Sample Application: Photographic-quality Facial Composites; 8.6 Bibliographical Remarks; References; 9 Deformable Templates

9.1 A Dynamic Perspective on the Hough Transform9.2 Deformable Templates; 9.3 Active Shape Models; 9.4 Diffeomorphic Matching; 9.5 Bibliographical Remarks; References; 10 Computational Aspects of Template Matching; 10.1 Speed; 10.1.1 Early Jump-out; 10.1.2 The Use of Sum Tables; 10.1.3 Hierarchical Template Matching; 10.1.4 Metric Inequalities; 10.1.5 The FFT Advantage; 10.1.6 PCA-based Speed-up; 10.1.7 A Combined Approach; 10.2 Precision; 10.2.1 A Perturbative Approach; 10.2.2 Phase Correlation; 10.3 Bibliographical Remarks; References; 11 Matching Point Sets: The Hausdorff Distance

11.1 Metric Pattern Spaces

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786612123467

9781282123465

1282123467

9780470744055

0470744057

9780470744048

0470744049

OCLC:

427566233