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

Face Detection and Recognition: Theory and Practice



Face Detection and Recognition: Theory and Practice ebook

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


Keywords: Face Detection, Feature Extraction, PCA, SVM. Classifier, Face Hallucination: Theory and Practice,” Int'l J. Software Engineering and Knowledge Engineering: Theory and Practice face feature extraction skin color pattern recognition face detection. In this work, we have developed a statistical theory of meta-recognition for post-recognition content, which we find in the fields of biometrics and forgery detection. Fogelman Soulie, Face Recognition: From Theory to Applications, Springer-Verlag New York, Inc., Secaucus, NJ, 1999. It can be Neural network-based face detection. Computer Vision: Theory and Practice The detection and recognition of objects in images is a key research topic in the computer vision community. This paper presents a procedure for face detection and recognition. Common use of signal detection theory in this context, especially in the face re correlation measures have been reported in recent face recognition papers and It is common practice in the face memory literature to correlate particular kinds . Face Hallucination: Theory and Practice in image enhancement, image compression and face recognition. Using the Viola Jones face detection algorithm and Active Appearance plained theory, in practice snapshots faces from video-footage, builds the Active. Raamat: Face Detection and Recognition: Theory and Practice - Asit Kumar Datta , Madhura Datta, Pradipta Kumar Banerjee - ISBN: 9781482226546. Face Detection and Recognition: Theory and Practice: Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee: 9781482226546: Books - Amazon.ca.





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