Human Recognition in Unconstrained Environments

Table of contents

1. Cover image
2. Title page
3. Table of Contents
4. Copyright
5. Contributors
6. Editor Biographies
7. Foreword
8. Chapter 1: Unconstrained Data Acquisition Frameworks and Protocols
   1. Abstract
   2. 1.1. Introduction
   3. 1.2. Unconstrained Biometric Data Acquisition Modalities
   4. 1.3. Typical Challenges
   5. 1.4. Unconstrained Biometric Data Acquisition Systems
   6. 1.5. Conclusions
   7. References
9. Chapter 2: Face Recognition Using an Outdoor Camera Network
   1. Abstract
   2. 2.1. Introduction
   3. 2.2. Taxonomy of Camera Networks
   4. 2.3. Face Association in Camera Networks
   5. 2.4. Face Recognition in Outdoor Environment
   6. 2.5. Outdoor Camera Systems
   7. 2.6. Remaining Challenges and Emerging Techniques
   8. 2.7. Conclusions
   9. References
10. Chapter 3: Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometrics “in-the-Wild”
    1. Abstract
    2. 3.1. Introduction
    3. 3.2. 3D Capture of Face and Ear: CURRENT Methods and Suitable Options
    4. 3.3. Mobile Devices for Ubiquitous Face–Ear Recognition
    5. 3.4. The Next Step: Mobile Devices for 3D Sensing Aiming at 3D Biometric Applications
    6. 3.5. Conclusions and Future Scenarios
    7. References
11. Chapter 4: A Multiscale Sequential Fusion Approach for Handling Pupil Dilation in Iris Recognition
    1. Abstract
    2. 4.1. Introduction
    3. 4.2. Previous Work
    4. 4.3. WVU Pupil Light Reflex (PLR) Dataset
    5. 4.4. Impact of Pupil Dilation
    6. 4.5. Proposed Method
    7. 4.6. Experimental Results
    8. 4.7. Conclusions and Future Work
    9. References
12. Chapter 5: Iris Recognition on Mobile Devices Using Near-Infrared Images
    1. Abstract
    2. 5.1. Introduction
    3. 5.2. Preprocessing
    4. 5.3. Feature Analysis
    5. 5.4. Multimodal Biometrics
    6. 5.5. Conclusions
    7. References
13. Chapter 6: Fingerphoto Authentication Using Smartphone Camera Captured Under Varying Environmental Conditions
    1. Abstract
    2. Acknowledgements
    3. 6.1. Introduction
    4. 6.2. Literature Survey
    5. 6.3. IIITD SmartPhone Fingerphoto Database v1
    6. 6.4. Proposed Fingerphoto Matching Algorithm
    7. 6.5. Experimental Results
    8. 6.6. Conclusion
    9. 6.7. Future Work
    10. References
14. Chapter 7: Soft Biometric Attributes in the Wild: Case Study on Gender Classification
    1. Abstract
    2. 7.1. Introduction
    3. 7.2. Biometrics in the Wild
    4. 7.3. Gender Classification in the Wild
    5. 7.4. Conclusions
    6. References
15. Chapter 8: Gait Recognition: The Wearable Solution
    1. Abstract
    2. 8.1. Machine Vision Approach
    3. 8.2. Floor Sensor Approach
    4. 8.3. Wearable Sensor Approach
    5. 8.4. Datasets Available for Experiments
    6. 8.5. An Example of a Complete System for Gait Recognition
    7. 8.6. Conclusions
    8. References
16. Chapter 9: Biometric Authentication to Access Controlled Areas Through Eye Tracking
    1. Abstract
    2. 9.1. Introduction
    3. 9.2. ATM-Like Solutions
    4. 9.3. Methods Based on Fixation and Scanpath Analysis
    5. 9.4. Methods Based on Eye/Gaze Velocity
    6. 9.5. Methods Based on Pupil Size
    7. 9.6. Methods Based on Oculomotor Features
    8. 9.7. Methods Based on Head Orientation
    9. 9.8. Conclusions
    10. References
17. Chapter 10: Noncooperative Biometrics: Cross-Jurisdictional Concerns
    1. Abstract
    2. 10.1. Introduction
    3. 10.2. Biometrics for Implementing Biometric Surveillance
    4. 10.3. Reaction to Public Opinion
    5. 10.4. The Early Days
    6. 10.5. An Interesting Clue (2007)
    7. 10.6. Biometric Surveillance Today
    8. 10.7. Conclusions
    9. References
18. Index