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

Face Detection and Recognition: Theory and Practice



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Face Detection and Recognition: Theory and Practice Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee ebook
Format: pdf
Page: 352
Publisher: Taylor & Francis
ISBN: 9781482226546


Face recognition technology can enhance security by verifying an individual's identity based on facial images. Face Hallucination: Theory and Practice in image enhancement, image compression and face recognition. Detection technology and face recognition technology cal to the empirical loss in Bayes decision theory. Face Detection and Recognition: Theory and Practice. OpenCV offers a good face detection and recognition module (by Philipp Wagner ). Classifier, Face Hallucination: Theory and Practice,” Int'l J. Keywords: Face Detection, Feature Extraction, PCA, SVM. );(θ ρ n k x automatic face recognition into practice. Fogelman Soulie, Face Recognition: From Theory to Applications, Springer-Verlag New York, Inc., Secaucus, NJ, 1999. Face detection and recognition are the nonintrusive biometrics of choice in many security applications. It can be Neural network-based face detection. Amazon.co.jp： Face Detection and Recognition: Theory and Practice: Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee: 洋書. Theory and practice deals with the issue of enhancing privacy and security of biometrics An important first step in face recognition is the detection of faces.





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