You are previewing Advances in Face Image Analysis: Techniques and Technologies.
O'Reilly logo
Advances in Face Image Analysis: Techniques and Technologies

Book Description

Advances in face image analysis: techniques and technologies fulfills this need, reviewing and surveying new forward-thinking research and development in face image analysis technologies. With more than 30 leading experts from around the world providing comprehensive coverage of various branches of face image analysis, this book is a valuable asset for students, researchers and practitioners engaged in the study, research and development of face image analysis techniques.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Acknowledgment
  6. Chapter 1: Face, Image, and Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN THRUST
    5. FUTURE TRENDS
    6. CONCLUSION
  7. Chapter 2: Face Searching in Large Databases
    1. ABSTRACT
    2. INTRODUCTION
  8. Chapter 3: A Review of Facial Feature Detection Algorithms
    1. ABSTRACT
    2. INTRODUCTION
    3. CONCLUSIONS AND FUTURE TRENDS
  9. Chapter 4: Gabor and Log-Gabor Wavelet for Face Recognition
    1. ABSTRACT
  10. Chapter 5: Efficient Face Retrieval Based on Bag of Facial Features
    1. ABSTRACT
    2. INTRODUCTION
    3. DETECTORS AND DESCRIPTORS
    4. BUILDING AND REFINING FACIAL VOCABULARY
    5. EXPERIMENTS
    6. CONCLUSION AND FUTURE WORK
  11. Chapter 6: Feature Selection in High Dimension
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. STOCHASTIC ALGORITHM FOR WEIGHTING VARIABLES (OFW)
    5. EXPERIMENTS AND CONCLUSION
    6. CONCLUSION
  12. Chapter 7: Transform Based Feature Extraction and Dimensionality Reduction Techniques
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. RADON AND DISCRETE COSINE TRANSFORMS BASED APPROACH
    5. RADON AND WAVELET TRANSFORM BASED APPROACH
    6. EXPERIMENTAL RESULTS
    7. FUTURE TRENDS AND CONCLUSION
  13. Chapter 8: FastNMF
    1. ABSTRACT
    2. INTRODUCTION
    3. NMF
    4. ANALYSIS OF EXISTING NMF ALGORITHMS
    5. FASTNMF
    6. PROPERTIES OF FASTNMF
    7. EXPERIMENTAL RESULTS AND DISCUSSIONS
    8. CONCLUSION
  14. Chapter 9: Sparse Representation for View-Based Face Recognition
    1. ABSTRACT
    2. INTRODUCTION
    3. COMPRESSIVE SENSING
    4. SPARSE REPRESENTATION FOR FACE RECOGNITION
    5. EXPERIMENTS
    6. SPARSE REPRESENTATION FOR TEMPORAL FACE RECOGNITION
    7. CONCLUSION AND FUTURE TRENDS
  15. Chapter 10: Probabilistic Methods for Face Registration and Recognition
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. PROBABILISTIC FACE RECOGNITION
    5. FEATURE SAMPLING
    6. KEYPOINT REGISTRATION
    7. FUTURE TRENDS AND CONCLUSION
  16. Chapter 11: Discriminant Learning Using Training Space Partitioning
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. DYNAMIC PARTITION OF THE TRAINING SPACE
    5. FUTURE TRENDS AND CONCLUSION
  17. Chapter 12: From Face to Facial Expression
    1. ABSTRACT
    2. INTRODUCTION
    3. FACIAL EXPRESSION REPRESENTATION
    4. FACIAL FEATURES EXTRACTION: SHORT OVERVIEW
    5. STATE OF THE ART OF FACIAL EXPRESSION CLASSIFICATION: ADVANCES AND CHALLENGES
    6. VISUAL PERCEPTION FOR FACIAL EXPRESSION RECOGNITION
    7. DESCRIPTION OF ONE CONTRIBUTION
    8. CONCLUSION
  18. Chapter 13: Facial Expression Analysis by Machine Learning
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FACIAL EXPRESSION SYSTEMS
    5. FEATURE EXTRACTION
    6. FEATURE SELECTION
    7. CLASSIFICATION
    8. FUTURE TRENDS AND CONCLUSION
  19. Chapter 14: Subtle Facial Expression Recognition in Still Images and Videos
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. 3D FACIAL DYNAMICS EXTRACTION
    5. DYNAMIC RECOGNITION
    6. EFFICIENT DETECTION AND RECOGNITION
    7. PERFORMANCE EVALUATION AND METHOD COMPARISONS
    8. DISCUSSION
  20. Chapter 15: Photometric Normalization Techniques for Illumination Invariance
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. IMAGE ENHANCEMENT TECHNIQUES
    5. PHOTOMETRIC NORMALIZATION TECHNIQUES
    6. EXPERIMENTAL ASSESSMENT
    7. CONCLUSION
  21. Chapter 16: Pose and Illumination Invariance with Compound Image Transforms
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. EXTRACTING IMAGE FEATURES
    5. IMAGE CLASSIFICATION
    6. EXPERIMENTAL RESULTS
    7. COMPUTATIONAL COMPLEXITY
    8. FUTURE TRENDS AND CONCLUSION
  22. Chapter 17: Configural Processing Hypothesis and Face-Inversion Effect
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. MAIN THRUST OF THE CHAPTER
    5. FUTURE TRENDS AND CONCLUSIONS
    6. ACKNOWLEDGMENT
  23. Compilation of References
  24. About the Contributors