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1

1959-, Pugliese Joseph, ed. Biometrics: Bodies, technologies, biopolitics. New York: Routledge, 2010.

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2

Jr, Woodward John D., Virginia State Crime Commission, and Rand Corporation, eds. Biometrics: A look at facial recognition. Santa Monica, Calif: RAND, 2003.

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3

Valentine, Tim, and Josh P. Davis, eds. Forensic Facial Identification. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118469538.

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4

George, Robert M. Facial geometry: Graphic facial analysis for forensic artists. Springfield, Ill: Charles C. Thomas, 2007.

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5

1965-, WILKINSON CAROLINE. Craniofacial identification. Cambridge: Cambridge University Press, 2012.

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6

Valentine, Tim, and Josh P. Davis. Forensic facial identification: Theory and practice of identification from eyewitnesses, composites and CCTV. Chichester, West Sussex: John Wiley & Sons Inc., 2015.

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7

Biswas, Nitin Kumar. Principles of reconstruction--skull to facial contour. Calcutta: Manna Publication, 2001.

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8

Our biometric future: Facial recognition technology and the culture of surveillance. New York: New York University Press, 2011.

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9

Leclerc, Yvon. Champignons comestibles faciles à identifier. Boucherville, Qc: Broquet, 2001.

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10

Sagrado, María Villanueva. Morfología facial: Estudios en población mexicana a través de fotografías digitales. México, D.F: Universidad Nacional Autónoma de México, Instituto de Investigaciones Antropológicas, 2010.

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11

Sant-Barket, Sinead. Perceiver Contributors to Facial Recognition: How Might Racial (Self) Awareness Facilitate or Inhibit Cross-Racial Identification? [New York, N.Y.?]: [publisher not identified], 2019.

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12

Gibson, Lois. Forensic art essentials: A manual for law enforcement artists. Amsterdam: Academic Press, 2008.

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13

A, Tsihrintzis George, ed. Visual affect recognition. Amsterdam: IOS Press, 2010.

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14

Hinkle, Douglas Paddock. Mug shots: A police artist's guide to remembering faces. Boulder, Colo: Paladin Press, 1990.

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15

What facial recognition technology means for privacy and civil liberties: Hearing before the Subcommittee on Privacy, Technology and the Law of the Committee on the Judiciary, United States Senate, One Hundred Twelfth Congress, second session, July 18, 2012. Washington: U.S. Government Printing Office, 2012.

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16

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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17

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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18

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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19

Deep Learning in Biometrics. CRC Press, 2018.

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20

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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21

Clement, John G., and Murray K. Marks. Computer-Graphic Facial Reconstruction. Elsevier Science & Technology Books, 2005.

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22

Computer-Graphic Facial Reconstruction. Academic Press, 2005.

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23

Clement, John G., and Murray K. Marks. Computer-Graphic Facial Reconstruction. Academic Press, 2005.

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24

Facial Geometry: Graphic Facial Analysis for Forensic Artists. Charles C Thomas Pub Ltd, 2007.

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25

Valentine, Tim, and Josh P. Davis. Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV. Wiley & Sons, Incorporated, John, 2015.

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26

Valentine, Tim, and Josh P. Davis. Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV. Wiley & Sons, Incorporated, John, 2015.

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27

Valentine, Tim, and Josh P. Davis. Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV. Wiley & Sons, Limited, John, 2015.

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28

Gordon, Gaile, A. L. Yuille, Peter W. Hallinan, Peter Giblin, and David Mumford. Two- and Three-Dimensional Patterns of the Face. CRC Press LLC, 1999.

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29

Two- and Three-Dimensional Patterns of the Face. AK Peters, Ltd., 1999.

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30

Gilad-Gutnick, Sharon, and Pawan Sinha. The Presidential Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0090.

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The effectiveness of the presidential illusion underscores the important point that by excluding external facial features, such as the head and hair shape, we lose critical information about the way faces are represented in real life. This chapter considers the question of whether whole-head processing is a general principle that can be extended to all face processes or if it specifically reflects the nature of facial encoding used by the visual system for the identification of individuals. For example, would supplementing the internal features of one face with those of another affect the perception of other common facial attributes, such as gender, race, or age? The eyes, nose, and mouth are believed to be the primary purveyors of facial identity. The presidential illusion challenges this dogma and suggests that external head features (the hair and jawline) are also crucial constituents of facial representation and strongly influence identity judgments.
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31

Bindemann, Markus, ed. Forensic Face Matching. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837749.001.0001.

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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.
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32

Have You Seen This Face?: The Work of Forensic Artists (24/7: Science Behind the Scenes: Forensic Files). Franklin Watts, 2007.

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33

Have You Seen This Face?: The Work of Forensic Artists (24/7: Science Behind the Scenes: Forensic Files). Franklin Watts, 2007.

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34

Narsinh, Kazim, and Thomas Kinney. The Air Technique to Determine Appropriate Posterior Calyx for Puncture. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0089.

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A posterior calyx is the preferred point of entry into the urinary collecting system during percutaneous nephrostomy procedures. Although ultrasonographic guidance is the preferred modality to gain this initial access, confident identification of a posterior calyx can be challenging using sonography alone, particularly in obese patients without hydronephrosis. In this setting, air or carbon dioxide can be introduced into the prone patient’s collecting system in order to fluoroscopically guide a confident puncture of the posterior calyx of the renal collecting system. This chapter presents a technique employing the introduction of air into the urinary collecting system to permit facile identification of a posterior calyx using fluoroscopic guidance during percutaneous nephrostomy procedures.
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35

Gibson, Lois. Forensic Art Essentials: A Manual for Law Enforcement Artists. Elsevier Science & Technology Books, 2010.

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36

Forensic Art Essentials: A Manual for Law Enforcement Artists. Academic Press, 2007.

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