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Books on the topic 'FACE RECOGNITION TECHNIQUES'

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Published: 11 September 2023

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1

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

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2

Jain, L. C., U. Halici, I. Hayashi, S. B. Lee, and S. Tsutsui. INTELLIGENT BIOMETRIC TECHNIQUES in FINGERPRINT and FACE RECOGNITION. Boca Raton: Routledge, 2022. http://dx.doi.org/10.1201/9780203750520.

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3

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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4

Elaine, Newton, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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5

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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6

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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7

Yang, Ming-Hsuan. Face Detection and Gesture Recognition for Human-Computer Interaction. Boston, MA: Springer US, 2001.

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8

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

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9

Wiskott, Laurenz. Labeled graphs and dynamic link matching for face recognition and scene analysis. Thun: Deutsch, 1995.

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10

International Conference on Automatic Face and Gesture Recognition (5th 2002 Washington, D.C.). Fifth IEEE International Conference on Automatic Face and Gesture Recognition: Proceedings : 20-21 May, 2002, Washington, D.C. Los Alamitos, Calif: IEEE Computer Society, 2002.

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11

1936-, Huang Thomas S., ed. 3D face processing: Modeling, analysis, and synthesis. Boston: Kluwer Academic Publishers, 2004.

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12

Kevin, Zhou S., ed. Analysis and modeling of faces and gestures: Third international workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 : proceedings. Berlin: Springer, 2007.

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13

International, Workshop on Recognition Analysis and Tracking of Faces and Gestures in Real-Time Systems (1999 Kerkyra Greece). International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems: September 26-27, 1999, Corfu, Greece. Los Alamitos, Calif: IEEE Computer Society, 1999.

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14

Rhodes, Gillian. Superportraits: Caricatures and recognition. Hove, East Sussex, UK: Psychology Press, 1996.

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15

Chellappa, Rama, Shaohua Kevin Zhou, and Wenyi Zhao. Unconstrained Face Recognition. Springer, 2010.

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16

Tsutsui, Shigeyoshi. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press LLC, 2021.

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17

Tsutsui, Shigeyoshi. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press LLC, 2021.

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18

Tsutsui, Shigeyoshi. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press LLC, 2021.

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19

Tsutsui, Shigeyoshi. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press LLC, 2021.

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20

Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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21

Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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22

Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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23

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

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24

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

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25

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

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26

Modern Face Recognition Techniques - Algorithms, Challenges and Applications [Working Title]. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.77445.

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27

Face Recognition Techniques And Analysis Classificaiton In Principal And Histogram Spaces. VDM Verlag, 2009.

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28

Unconstrained Face Recognition (International Series on Biometrics). Springer, 2005.

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29

(Editor), Lakhmi C. Jain, Ugur Halici (Editor), Isao Hayashi (Editor), S. B. Lee (Editor), and Shigeyoshi Tsutsui (Editor), eds. Intelligent Biometric Techniques in Fingerprint and Face Recognition (Crc Press International Series on Computational Intelligence.). CRC, 1999.

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30

Chellappa, Rama, Amit K. Roy-Chowdhury, and S. Kevin Zhou. Recognition of Humans and Their Activities Using Video. Springer International Publishing AG, 2007.

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31

Chellappa, Rama, Amit K. Roy-Chowdhury, and S. Kevin Zhou. Recognition of Humans and Their Activities Using Video. Morgan & Claypool Publishers, 2006.

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32

Huang, Thomas S. 3D Face Processing: Modeling, Analysis and Synthesis. Springer London, Limited, 2006.

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33

Wen, Zhen. 3D Face Processing: "Modeling, Analysis And Synthesis". Springer, 2010.

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34

Chellappa, Rama, Amit K. Roy-chowdhury, Al Bovik, and S. Kevin Zhou. Recognition of Humans and Their Activities Using Video (Synthesis Lectures in Image, Video, & Multimedia Processing). Morgan & Claypool Publishers, 2005.

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35

Feng, Guocan, Tieniu Tan, Stan Z. Li, Yunhong Wang, and Jianhuang Lai. Advances in Biometric Person Authentication: 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings. Springer London, Limited, 2004.

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36

Pankanti, Sharath, Tieniu Tan, Stan Z. Li, Gérard Chollet, and Zhenan Sun. Advances in Biometric Person Authentication: International Workshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22 - 23, 2005, Proceedings. Springer London, Limited, 2005.

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37

Ahuja, Narendra, and Ming-Hsuan Yang. Face Detection and Gesture Recognition for Human-Computer Interaction (The International Series in Video Computing). Springer, 2001.

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38

(Editor), Stan Z. Li, Zhenan Sun (Editor), Tieniu Tan (Editor), Sharath Pankanti (Editor), Gérard Chollet (Editor), and David Zhang (Editor), eds. Advances in Biometric Person Authentication: International Workshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22 23, 2005, Proceedings (Lecture Notes in Computer Science). Springer, 2005.

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39

Sun, Changming, Hugues Talbot, Sebastien Ourselin, and Tony Adriaansen, eds. Digital Image Computing: Techniques and Applications. CSIRO Publishing, 2003. http://dx.doi.org/10.1071/9780643090989.

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Digital Image Computing: Techniques and Applications is the premier biennial conference in Australia on the topics of image processing and image analysis. This seventh edition of the proceedings has seen an unprecedented level of submission, on such diverse areas as: Image processing; Face recognition; Segmentation; Registration; Motion analysis; Medical imaging; Object recognition; Virtual environments; Graphics; Stereo-vision; and Video analysis. These two volumes contain all the 108 accepted papers and five invited talks that were presented at the conference. These two volumes provide the Australian and international imaging research community with a snapshot of current theoretical and practical developments in these areas. They are of value to any engineer, computer scientist, mathematician, statistician or student interested in these matters.
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40

International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems: September 26-27, 1999, Corfu, Greece. Ieee Computer Society, 1999.

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41

Proceedings Fifth IEEE International Conference on Automatic Face and Gesture Recognition: Washington, D.C., 20-21 May 2002. IEEE Computer Society Pr, 2002.

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42

Huang, Thomas S., and Zhen Wen. 3D Face Processing: Modeling, Analysis and Synthesis (The International Series in Video Computing). Springer, 2004.

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43

Funny Gag Funny Gag Gifts For Friends - Harmony Coworker Quotes. People I Want to Punch in the Face: Blank Lined Journal Coworker Notebook Gift Ideas for Employees Recognition, Boss Workplace Stress Relief Managing Stress Techniques and Positive Attitude. Independently Published, 2020.

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44

Gong, Shaogang, Wenyi Zhao, and Xiaou Tang. Analysis and Modelling of Faces and Gestures: Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings. Springer London, Limited, 2005.

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45

(Editor), Wenyi Zhao, Shaogang Gong (Editor), and Xiaou Tang (Editor), eds. Analysis and Modelling of Faces and Gestures: Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005, Proceedings (Lecture Notes in Computer Science). Springer, 2005.

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46

Rhodes, Gillian. Superportraits: Caricatures and Recognition. Taylor & Francis Group, 1997.

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47

Rhodes, Gillian. Superportraits: Caricatures and Recognition. Taylor & Francis Group, 2015.

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48

Rhodes, Gillian. Superportraits: Caricatures and Recognition. Taylor & Francis Group, 1997.

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49

Rhodes, Gillian. Superportraits: Caricatures and Recognition. Taylor & Francis Group, 1997.

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50

Martens, David. Data Science Ethics. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847263.001.0001.

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Abstract:
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far mainly been used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. This book looks at the different concepts and techniques related to data science ethics. Data scientists and business managers are not inherently unethical, but at the same time not trained to think this through either. This book aims to address this important gap. The techniques discussed range from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, measurements to assess, and techniques to remove discrimination against sensitive groups, and various explainable AI techniques. The real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, discrimination in recruitment, predicting pregnancy, redlining, re-identification of persons based on movie viewing and location data, cheating academics, and face recognition. Additionally, 10 discussions are provided with hypothetical scenarios, for example:‘you are the founder of a startup …’, which then present an ethical dilemma related to data science. These can serve as structured exercises to be completed with your fellow colleagues, and will teach you how to balance the ethical concerns and the utility of your data.
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