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Books on the topic 'Fake image'

Author: Grafiati

Published: 20 February 2023

Last updated: 21 February 2023

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1

Kemp, Sandra. Future face: Image, identity, innovation. London: Profile Books, 2004.

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2

Bartlett, Marian Stewart. Face image analysis by unsupervised learning. Boston: Kluwer Academic Publishers, 2001.

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3

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1637-8.

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4

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001.

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5

The Image of Edessa. Leiden: Brill, 2009.

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6

Les images d'archives face à l'histoire: De la conservation à la création. Futuroscope: Scéren, 2011.

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7

Hitler's face: The biography of an image. Philadelphia: University of Pennsylvania Press, 2006.

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8

Kawulok, Michal, M. Emre Celebi, and Bogdan Smolka, eds. Advances in Face Detection and Facial Image Analysis. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25958-1.

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9

1954-, Zhang Yu-Jin, ed. Advances in face image analysis: Techniques and technologies. Hershey, PA: Medical Information Science Reference, 2010.

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10

Hadyn, Ellis, and Macrae Neil, eds. Validation in psychology. New Brunswick, N.J: Transaction Publishers, 2001.

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11

Dutta, Paramartha, and Asit Barman. Human Emotion Recognition from Face Images. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3883-4.

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12

Le corps désirable: Hommes et femmes face à leur poids. Paris: Presses universitaires de France, 2010.

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13

Fombrun, Charles J. Fame and Fortune. Upper Saddle River: Financial Times - Domestic (Tim), 2007.

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14

1969-, McKenna Stephen J., and Psarrou Alexandra, eds. Dynamic vision: From images to face recognition. London: Imperial College Press, 2000.

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15

Focus: Found faces : your world, your images. New York: Lark Crafts, 2011.

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16

MALAGUARNERA, Serafino. L'anorexie face au miroir: Le déclin de la fonction paternelle. Paris: L'Harmattan, 2010.

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17

L’anorexie face au miroir.: Le déclin de la fonction paternelle. Paris: L'Harmattan, 2010.

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18

Malaguarnera, Serafino. L'anorexie face au miroir: Le déclin de la fonction paternelle. Paris: L'Harmattan, 2010.

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19

La revanche des moches: Face à cette industrie aliénante : tout le monde est moche! Montréal (Québec): VLB, 2014.

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20

Face to face with angels: Images in medieval art and in film. Jefferson, N.C: McFarland & Company, Inc., Publishers, 2010.

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21

Wilkinson, Endymion Porter. Le Japon face à l'Occident: Images et réalités. Bruxelles: Editions Complexe, 1992.

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22

The face of Jizō: Image and cult in medieval Japanese Buddhism. Honolulu: University of Hawaiʻi Press, 2012.

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23

1965-, Zhang Zhengyou, ed. Face geometry and appearance modeling: Concepts and applications. Cambridge: Cambridge University Press, 2011.

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24

1950-, Ahuja Narendra, ed. Face detection and gesture recognition for human-computer interaction. Boston: Kluwer Academic, 2001.

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25

Kiyūrkīs, Ṣalīwā. Ayqūnat al-Rahā: Al-kafn al-muqaddas = Ṣalma d-Urhay = The Image of Edessa. [Baghdad?: s.n, 2002.

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26

God's human face: The Christ-icon. San Francisco: Ignatius Press, 1994.

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27

Face of a nation: Democracy in Nigeria, foreign relations and national image. [Nigeria]: Modern Approach, 2009.

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28

Grealy, Lucy. Autobiography of a face. [New York]: HarperPerennial, 1995.

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29

Autobiography of a face. New York: Perennial, 2003.

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30

Grealy, Lucy. Autobiography of a face. New York: Perennial, 2003.

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31

Vicki, Bruce, and Burton Mike 1959-, eds. Processing images of faces. Norwood, N.J: Ablex Pub. Corp., 1992.

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32

Buskirk, Todd Van. Fake Vincent Van Gogh (1853-90) Landscape Is Located on P. 168 and 169 As a Double-Page Spread. the Margin of the Gutter Divides the Image in Two. the Dimensions of the Image on P. 168 Are 1042 X 1024 Pixels and the Image on P. 169 Is 1005 X 1024 Pixels... Lulu Press, Inc., 2015.

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33

Guscin, Mark. Image of Edessa. Ebsco Publishing, 2009.

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34

Thomson-Jones, Katherine. Image in the Making. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197567616.001.0001.

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Human beings have always made images, and to do so they have developed and refined an enormous range of artistic tools and materials. With the development of digital technology, the ways of making images—whether they are still or moving, 2D or 3D—have evolved at an unprecedented rate. At every stage of image making, artists now face a choice between using analog and using digital tools. Yet a digital image need not look digital; and likewise, a handmade image or traditional photograph need not look analog. If we do not see the artist’s choice between the analog and the digital, what difference can this choice make for our appreciation of images in the digital age? Image in the Making answers this question by accounting for the fundamental distinction between the analog and the digital; by explicating the technological realization of this distinction in image-making practice; and by exploring the creative possibilities that are distinctive of the digital. The case is made for a new kind of appreciation in the digital age. In appreciating the images involved in every digital art form—from digital video installation to net art to digital cinema—there is a basic truth that we cannot ignore: the nature and technology of the digital expands both what an image can be as an image and what an image can be for us.

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35

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Springer, 2001.

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36

Perspectives on the Face. Oxford University Press, USA, 2006.

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37

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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38

Hitlers Face The Biography Of An Image. University of Pennsylvania Press, 2009.

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39

Face for God: Reflections on Trinitarian Theology for Our Times. Convivium Press, Incorporated, 2014.

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40

Justin, Jessica. Homemade Face Mask: Your Homemade Face Mask with Images. Independently Published, 2020.

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41

Karande, Kailash Jagannath, and Sanjay Nilkanth Talbar. Independent Component Analysis of Edge Information for Face Recognition. Springer London, Limited, 2013.

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42

Karande, Kailash Jagannath, and Sanjay Nilkanth Talbar. Independent Component Analysis of Edge Information for Face Recognition. Kailash Jagannath Karande, 2013.

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43

Hawthorne, Nathaniel. Snow-Image, the Great Stone-face, Little Daffydowndilly. Creative Media Partners, LLC, 2018.

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44

Smolka, Bogdan, Emre Celebi, and Michal Kawulok. Advances in Face Detection and Facial Image Analysis. Springer, 2016.

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45

Celebi, M. Emre, Bogdan Smolka, and Michal Kawulok. Advances in Face Detection and Facial Image Analysis. Springer International Publishing AG, 2016.

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46

Dornaika, Fadi, ed. Advances in Face Image Analysis: Theory and Applications. BENTHAM SCIENCE PUBLISHERS, 2016. http://dx.doi.org/10.2174/97816810811061160101.

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47

Smolka, Bogdan, Emre Celebi, and Michal Kawulok. Advances in Face Detection and Facial Image Analysis. Springer, 2018.

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48

Chellappa, Rama, Shaohua Kevin Zhou, and Wenyi Zhao. Unconstrained Face Recognition (International Series on Biometrics Book 5). Springer, 2006.

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49

Bull, Stephen. Photography and Celebrity: Fame and Images. Taylor & Francis Group, 2022.

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50

Dutta, Paramartha, and Asit Barman. Human Emotion Recognition from Face Images. Springer Singapore Pte. Limited, 2021.

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