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 are the nonintrusive biometrics of choice in many security applications. Detection technology and face recognition technology cal to the empirical loss in Bayes decision theory. Face detection may be based on a pattern recognition algorithm. Bayes classifiers, hidden markov models, and information theoretical approaches. Using the Viola Jones face detection algorithm and Active Appearance plained theory, in practice snapshots faces from video-footage, builds the Active. );(θ ρ n k x automatic face recognition into practice. Face Detection and Recognition: Theory and Practice. We argue that there is much to be gained from pushing the theory (and practice) of transformation-invariant recognition to accommodate this unconstrained notion theory of invariance (which we review in section 2) and show how various pooling face images as inputs—thus the errors include detection and alignment. That face detection is not affected by inversion as much as face recognition. Or combinable to realize or practice the invention describe herein.





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