Forensic face matching : research and practice / edited by Markus Bindemann.

Contributor(s):

Bindemann, Markus [editor]

Material type:

Computer fileLanguage: English Publication details: New York, NY : Oxford University Press, 2021Description: 1 online resource (xiii, 258, pages) : color illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780191874338 (e-book)

Subject(s):

LOC classification:

BF242 F76 2021

Online resources:

Contents:

1. Person identification at airports during passport control -- 2. Factors limiting face matching at passport control and in police investigations -- 3. Steps towards a cognitive theory of unfamiliar face matching -- 4. Understanding professional expertise in unfamiliar face matching -- 5. Can face identification ability be trained? evidence for two routes to expertise -- 6 Individual differences between observers in face matching -- 7 Forensic face matching : procedures and application -- 8. Forensic face matching : a legal perspective -- 9. Automatic recognition systems and human computer interaction in face matching -- 10. Realistic masks in the real world

Summary: Person identification at passport control, at borders, in police investigations, and in criminal trials relies critically on the identity verification of people via image-to-image or person-to-image comparison. While this task is known as ‘facial image comparison’ in forensic settings, it has been studied as ‘unfamiliar face matching’ in cognitive science. This book brings together expertise from practitioners, and academics in psychology and law, to draw together what is currently known about these tasks. It explains the problem of identity impostors and how within-person variability and between-person similarity, due to factors such as image quality, lighting direction, and view, affect identification. A framework to develop a cognitive theory of face matching is offered. The face-matching abilities of untrained lay observers, facial reviewers, facial examiners, and super-recognizers are analysed and contrasted. Individual differences between observers, learning and training for face recognition and face matching, and personnel selection are reviewed. The admissibility criteria of evidence from face matching in legal settings are considered, focusing on aspects such as the requirement of relevance, the prohibition on evidence of opinion, and reliability. Key concepts relevant to automatic face recognition algorithms at airports and in police investigations are explained, such as deep convolutional neural networks, biometrics, and human–computer interaction. Finally, new security threats in the form of hyper-realistic mask disguises are considered, including the impact these have on person identification in applied and laboratory settings.

List(s) this item appears in: NEW Online E-Books 2023

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Materials specified	Status	Notes	Date due	Barcode
Online E-Books	Ladislao N. Diwa Memorial Library Multimedia Section	Non-fiction	OEBP BF242 F76 2021 (Browse shelf(Opens below))		Available	PAV		OEBP000205
Compact Discs	Ladislao N. Diwa Memorial Library Multimedia Section	Non-fiction	EB BF242 F76 2021 (Browse shelf(Opens below))		Room use only	PAV		EB000205

https://www.universitypressscholarship.com/

Includes bibliographical references and index

1. Person identification at airports during passport control -- 2. Factors limiting face matching at passport control and in police investigations -- 3. Steps towards a cognitive theory of unfamiliar face matching --
4. Understanding professional expertise in unfamiliar face matching -- 5. Can face identification ability be trained? evidence for two routes to expertise -- 6 Individual differences between observers in face matching -- 7 Forensic face matching : procedures and application -- 8. Forensic face matching : a legal perspective -- 9. Automatic recognition systems and human computer interaction in face matching --
10. Realistic masks in the real world

Person identification at passport control, at borders, in police investigations, and in criminal trials relies critically on the identity verification of people via image-to-image or person-to-image comparison. While this task is known as ‘facial image comparison’ in forensic settings, it has been studied as ‘unfamiliar face matching’ in cognitive science. This book brings together expertise from practitioners, and academics in psychology and law, to draw together what is currently known about these tasks. It explains the problem of identity impostors and how within-person variability and between-person similarity, due to factors such as image quality, lighting direction, and view, affect identification. A framework to develop a cognitive theory of face matching is offered. The face-matching abilities of untrained lay observers, facial reviewers, facial examiners, and super-recognizers are analysed and contrasted. Individual differences between observers, learning and training for face recognition and face matching, and personnel selection are reviewed. The admissibility criteria of evidence from face matching in legal settings are considered, focusing on aspects such as the requirement of relevance, the prohibition on evidence of opinion, and reliability. Key concepts relevant to automatic face recognition algorithms at airports and in police investigations are explained, such as deep convolutional neural networks, biometrics, and human–computer interaction. Finally, new security threats in the form of hyper-realistic mask disguises are considered, including the impact these have on person identification in applied and laboratory settings.

Fund 164 CE-Logic Purchased Feb 16, 2022 OEBP000205 P. Roderno PHP 8,551.90
2022-02-057 22-1054

Click on an image to view it in the image viewer