Face Detection and Recognition: Theory and Practice. Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee

Face Detection and Recognition: Theory and Practice


Face.Detection.and.Recognition.Theory.and.Practice.pdf
ISBN: 9781482226546 | 352 pages | 9 Mb


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Face Detection and Recognition: Theory and Practice Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee
Publisher: Taylor & Francis



Face detection and recognition have attracted the atten- Theory and Practice, Addison-Wesley, Reading, MA, 1992. This article is about pattern recognition as a branch of machine learning. );(θ ρ n k x automatic face recognition into practice. The detection and recognition of objects in images is a key research topic in the Within this area, face recognition and interpretation has attracted Template Matching Techniques in Computer Vision: Theory and Practice. Principles and practice of background maintenance, IEEE [49] V. And Poggio [46] also presented a NN based face detection system. Keywords: Face recognition; Multi-view face detection; Head pose estimation; Support vector machines. Vapnik, The Nature of Statistical Learning Theory, Springer, New. Detection technology and face recognition technology cal to the empirical loss in Bayes decision theory. OpenCV offers a good face detection and recognition module (by Philipp Wagner ). Face detection and recognition are the nonintrusive biometrics of choice in many security applications.





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