Catriona Havard

When Face Recognition Goes Wrong (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book explores the myriad ways that humans and machines make mistakes in facial recognition. Adopting a critical stance throughout, the book explores why and how humans and machines make mistakes, covering topics including racial and gender biases, neuropsychological disorders, and widespread algorithm problems.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 274
• Erscheinungstermin: 29. Oktober 2024
• Englisch
• ISBN-13: 9781040150221
• Artikelnr.: 72276109

Autorenporträt

Catriona Havard is Professor of Psychology in the School of Psychology & Counselling at The Open University, UK.

Inhaltsangabe

Chapter 1. Introduction to face recognition and eyewitness identification.
Chapter 2. I recognise your face but who are you? Everyday face recognition
errors. Chapter 3. Unconscious transference and misidentifications. Chapter
4. The influence of race on face recognition and eyewitness identification.
Chapter 5. The influence of gender on face recognition and eyewitness
identification. Chapter 6. The influence of age upon face recognition and
eyewitness identification. Chapter 7. Machine errors in face recognition.
Chapter 8. Disguises, face masks and appearance change. Chapter 9.
Prosopagnosia, Face Blindness. Chapter 10. Delusions of Misidentification
(DMI). Chapter 11. Super recognisers. Chapter 12. The future of face
recognition research.