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Gotowe bibliografie tematyczne / FACE RECOGNITION TECHNIQUES / Książki

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Książki na temat „FACE RECOGNITION TECHNIQUES”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 25 lipca 2025

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Sprawdź 49 najlepszych książek naukowych na temat „FACE RECOGNITION TECHNIQUES”.

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1

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

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Jain, L. C., U. Halici, I. Hayashi, S. B. Lee, and S. Tsutsui. INTELLIGENT BIOMETRIC TECHNIQUES in FINGERPRINT and FACE RECOGNITION. 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. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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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. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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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. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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

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

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

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Wiskott, Laurenz. Labeled graphs and dynamic link matching for face recognition and scene analysis. 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. IEEE Computer Society, 2002.

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11

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

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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. IEEE Computer Society, 1999.

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13

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

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14

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

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

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16

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

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

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18

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

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19

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

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

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21

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

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

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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

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

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25

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

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26

(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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27

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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28

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

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30

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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31

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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32

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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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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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 p

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35

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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36

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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37

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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38

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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39

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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(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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41

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

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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

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

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

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

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

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Superportraits: Caricatures and recognition. Psychology Press, 1996.

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Rhodes, Gillian. Superportraits: Caricatures And Recognition (Essays in Cognitive Psychology). Psychology Press, 1997.

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Mueller-Hanson, Rose, Evan F. Sinar, and Elaine D. Pulakos, eds. Evolving the Employee Experience. Oxford University PressNew York, NY, 2025. https://doi.org/10.1093/9780197780251.001.0001.

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Abstract This book explores the evolving landscape of employee experience and leadership in the face of unprecedented global disruption. Drawing on firsthand research and case studies, it examines how organizations are adapting to meet changing employee needs and expectations in the new world of work. The volume is structured around three interconnected themes: Expanding the Employee Experience, Inclusive Talent Practices, and Developing Leaders for the Future. It offers insights into critical areas such as human connection, remote work, organizational agility, diversity and inclusion, data-dr

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49

Talbot, Hugues, and Richard Beare. Mathematical Morphology. CSIRO Publishing, 2002. http://dx.doi.org/10.1071/9780643107342.

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Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers.  Mathematical Morphology is comprehensive work that provides a broad sampling of the most recent theoretical and practical developments in applications to image processing and analysis. Subject areas covered include: binary morphology, regularised region growing, morphological scale-space techniques, levelings, reconstruction, model

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