¡Hola! Iniciá sesión
Inicio > Productos

Human Recognition in Unconstrained Environments

$145.00 USD
Ver más detalles

FORMATO

Edicion

PAPEL

Edicion

EBOOK
Descripcion
Indice
Autores
Muestra
Ficha Técnica
Descripción

Human Recognition in Unconstrained Environments provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents.

Coverage includes:

  • Data hardware architecture fundamentals
  • Background subtraction of humans in outdoor scenes
  • Camera synchronization
  • Biometric traits: Real-time detection and data segmentation
  • Biometric traits: Feature encoding / matching
  • Fusion at different levels
  • Reaction against security incidents
  • Ethical issues in non-cooperative biometric recognition in public spaces

    • With this book readers will learn how to:

  • Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security
  • Choose the most suited biometric traits and recognition methods for uncontrolled settings
  • Evaluate the performance of a biometric system on real world data
  • Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents
  • Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system
  • Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities

1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. ix 6. Editor Biographies - p. xi 7. Foreword - p. xiii 8. Chapter 1: Unconstrained Data Acquisition Frameworks and Protocols - p. xvi 9. Chapter 2: Face Recognition Using an Outdoor Camera Network - p. 30 10. Chapter 3: Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometrics “in-the-Wild” - p. 54 11. Chapter 4: A Multiscale Sequential Fusion Approach for Handling Pupil Dilation in Iris Recognition - p. 75 12. Chapter 5: Iris Recognition on Mobile Devices Using Near-Infrared Images - p. 102 13. Chapter 6: Fingerphoto Authentication Using Smartphone Camera Captured Under Varying Environmental Conditions - p. 117 14. Chapter 7: Soft Biometric Attributes in the Wild: Case Study on Gender Classification - p. 144 15. Chapter 8: Gait Recognition: The Wearable Solution - p. 176 16. Chapter 9: Biometric Authentication to Access Controlled Areas Through Eye Tracking - p. 195 17. Chapter 10: Noncooperative Biometrics: Cross-Jurisdictional Concerns - p. 216 18. Index - p. 229

Descripcion
Descripción

Human Recognition in Unconstrained Environments provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents.

Coverage includes:

  • Data hardware architecture fundamentals
  • Background subtraction of humans in outdoor scenes
  • Camera synchronization
  • Biometric traits: Real-time detection and data segmentation
  • Biometric traits: Feature encoding / matching
  • Fusion at different levels
  • Reaction against security incidents
  • Ethical issues in non-cooperative biometric recognition in public spaces

    • With this book readers will learn how to:

  • Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security
  • Choose the most suited biometric traits and recognition methods for uncontrolled settings
  • Evaluate the performance of a biometric system on real world data
  • Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents
  • Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system
  • Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities

1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. ix 6. Editor Biographies - p. xi 7. Foreword - p. xiii 8. Chapter 1: Unconstrained Data Acquisition Frameworks and Protocols - p. xvi 9. Chapter 2: Face Recognition Using an Outdoor Camera Network - p. 30 10. Chapter 3: Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometrics “in-the-Wild” - p. 54 11. Chapter 4: A Multiscale Sequential Fusion Approach for Handling Pupil Dilation in Iris Recognition - p. 75 12. Chapter 5: Iris Recognition on Mobile Devices Using Near-Infrared Images - p. 102 13. Chapter 6: Fingerphoto Authentication Using Smartphone Camera Captured Under Varying Environmental Conditions - p. 117 14. Chapter 7: Soft Biometric Attributes in the Wild: Case Study on Gender Classification - p. 144 15. Chapter 8: Gait Recognition: The Wearable Solution - p. 176 16. Chapter 9: Biometric Authentication to Access Controlled Areas Through Eye Tracking - p. 195 17. Chapter 10: Noncooperative Biometrics: Cross-Jurisdictional Concerns - p. 216 18. Index - p. 229

Indice
Autores
Muestra
Ficha Técnica