Book description
This book discusses the major approaches, algorithms, and technologies used in automated face detection and recognition. Explaining the theory and practice of systems currently in vogue, the text covers face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory, face recognition using evolutionary algorithms, face recognition in frequency domain, and more. It features pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB/PYTHON) and hardware implementation strategies with code examples.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Contents (1/2)
- Contents (2/2)
- List of Figures (1/2)
- List of Figures (2/2)
- List of Tables
- Preface
- Acknowledgment
- 1. Introduction
- 2. Face detection and recognition techniques
- 3. Subspace-based face recognition
- 4. Face detection by Bayesian approach
- 5. Face detection in color and infrared images
- 6. Intelligent face detection
- 7. Real-time face detection
-
8. Face space boundary selection for face detection and recognition
- 8.1. Introduction
- 8.2. Face points, face classes and face space boundaries
- 8.3. Mathematical preliminaries for set estimation method
- 8.4. Face space boundary selection using set estimation
- 8.5. Experimental design and result analysis
- 8.6. Classification of face/non-face regions
- 8.7. Class specific thresholds of face-class boundaries for face recognition
- 8.8. Experimental design and result analysis
- 9. Evolutionary design for face recognition
-
10. Frequency domain correlation filters in face recognition
- 10.1. Introduction
- 10.2. A brief review on correlation filters
- 10.3. Mathematical background of correlation filter
- 10.4. Physical requirements in designing correlation filters
- 10.5. Applications of correlation filters
- 10.6. Performance analysis
- 10.7. Video correlation lter
- 10.8. Formulation of unconstrained video filter
- 10.9. Distance classifier correlation filter
- 10.10. Application of UVF for face detection
-
11. Subspace-based face recognition in frequency domain
- 11.1. Introduction
- 11.2. Subspace-based correlation filter
- 11.3. Mathematical modelling with 1D subspace
- 11.4. Face classification and recognition analysis in
- 11.5. Test results with 1D subspace analysis
- 11.6. Mathematical modelling with 2D subspace
- 11.7. Test results on 2D subspace analysis
- 11.8. Class-specific nonlinear correlation filter
- 11.9. Formulation of nonlinear correlation filters
- 11.10. 11.10Face recognition analysis using correlation classifiers
- 11.11. Test results
- 12. Landmark localization for face recognition
- 13. Two-dimensional synthetic face generation using set estimation
- 14. Datasets of face images for face recognition systems
- Conclusion
- Bibliography (1/4)
- Bibliography (2/4)
- Bibliography (3/4)
- Bibliography (4/4)
- Index
Product information
- Title: Face Detection and Recognition
- Author(s):
- Release date: October 2015
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781482226577
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