Books on the topic 'Human face recognition'

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.

Handbook of face recognition. 2nd ed. London: Springer, 2011.

Quaglia, Adamo, and Calogera M. Epifano. Face recognition: Methods, applications, and technology. Hauppauge, N.Y: Nova Science, 2012.

Grother, Patrick J. Face recognition vendor test 2002 performance metrics. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2003.

1948-, Wechsler Harry, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Face Recognition: From Theory to Applications (1997 : Stirling, Stirling, Scotland), eds. Face recognition: From theory to applications. Berlin: Springer, 1998.

Daijin, Kim. Automated face analysis: Emerging technologies and research. Hershey, PA: Information Science Reference, 2009.

Uwechue, Okechukwu A. Human face recognition using third-order synthetic neural networks. Boston: Kluwer Academic Publishers, 1997.

Uwechue, Okechukwu A. Human Face Recognition Using Third-Order Synthetic Neural Networks. Boston, MA: Springer US, 1997.

Uwechue, Okechukwu A., and Abhijit S. Pandya. Human Face Recognition Using Third-Order Synthetic Neural Networks. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-4092-2.

Yang, Ming-Hsuan, and Narendra Ahuja. Face Detection and Gesture Recognition for Human-Computer Interaction. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1423-7.

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

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

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

Curio, Cristóbal. Dynamic faces: Insights from experiments and computation. Cambridge, Mass: MIT Press, 2011.

Curio, Cristóbal. Dynamic faces: Insights from experiments and computation. Cambridge, Mass: MIT Press, 2010.

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

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

Society, IEEE Computer, ed. IEEE International Workshop on Analysis and Modeling of Faces and Gestures: AMFG 2003 : 17 October, 2003, Nice, France. Los Alamitos, California: IEEE Computer Society, 2003.

1965-, Zhang Zhengyou, ed. Boosting-based face detection and adaptation. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.

Hammoud, Riad I. Face biometrics for personal identification: Multi-sensory multi-modal systems. Berlin: Springer, 2007.

Ahmed, Elgammal, Rosenhahn Bodo, and Klette Reinhard, eds. Human motion: Understanding, modeling, capture and animation : second workshop, human motion 2007, Rio de Janeiro, Brazil, October 20, 2007 : proceedings. Berlin: Springer, 2007.

Wiedemann, Ursula. Biometrie--Stand und Chancen der Vermessung des Menschen. Berlin: Frank & Timme, 2012.

Ren lian gan zhi: Cong er wei dao san wei = Human Face Percetion : from 2D to 3D. Beijing: Ke xue chu ban she, 2011.

D, Woodward John. Super Bowl surveillance: Facing up to biometrics. Santa Monica, CA: RAND, Arroyo Center, 2001.

Ren lian zi dong ji qi shi bie. Beijing: Ke xue chu ban she, 2009.

Evison, Martin Paul. Computer-aided forensic facial comparison. Boca Raton, FL: Taylor & Francis Group, 2010.

Ji yu zi kong jian de ren lian shi bie: Subspace-based face recognition. Beijing: Qing hua da xue chu ban she, 2009.

H, Bülthoff Heinrich, and Giese Martin A, eds. Dynamic faces: Insights from experiments and computation. Cambridge, Mass: MIT Press, 2010.

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

W, Vorder Bruegge Richard, ed. Computer-aided forensic facial comparison. Boca Raton, FL: Taylor & Francis Group, 2010.

Hes, Ronald. At face value: On biometrical identification and privacy. 2nd ed. The Hague: Registratiekamer, 1999.

Biometric, Consortium Conference (2006 Baltimore MD). 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. Piscataway, NJ: IEEE, 2006.

Moeslund, Thomas B. Visual Analysis of Humans: Looking at People. London: Springer-Verlag London Limited, 2011.

I, Ivanov A. Neĭrosetevye algoritmy biometricheskoĭ identifikat︠s︡ii lichnosti. Moskva: Radiotekhnika, 2004.

(Editor), Stan Z. Li, and Anil K. Jain (Editor), eds. Handbook of Face Recognition. Springer, 2005.

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

Dutta, Paramartha, and Asit Barman. Human Emotion Recognition from Face Images. Springer, 2020.

Datta, Asit Kumar, Madhura Datta, and Pradipta Kumar Banerjee. Face Detection and Recognition. Taylor & Francis Group, 2019.

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

Machinebased Intelligent Face Recognition. Springer, 2010.

National Institute of Standards and Technology (U.S.), ed. Support vector machines applied to face recognition. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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.

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.

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.

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.

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.

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.

Pan, Jeng-Shyang, Jun-Bao Li, and Shu-Chuan Chu. Kernel Learning Algorithms for Face Recognition. Springer, 2013.

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.

Pan, Jeng-Shyang, Jun-Bao Li, and Shu-Chuan Chu. Kernel Learning Algorithms for Face Recognition. Springer New York, 2016.