Face detection and recognition: theory and practice
Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de.
Read More ↓Title Statements
- Full title :Face detection and recognition : theory and practice / Asit Kumar Datta, University of Calcutta, Kolkata, India ; Madhura Datta, University of Calcutta, Kolkata, India ; Pradipta Kumar Banerjee, Future Institute of Engineering and Management, Kolkata, India.
Summary
Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de.
Read More ↓Edition Statements
- Publication Date:©2016
Publication Statements
- Publisher(s):Taylor & Francis
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2016
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9781482226577, 148222657X, 1482226545, 9781482226546
- DOI:10.1201/b19349
- oclc:ocn987753472
- LC Classification:TA1653
- Dewey Decimal:006.4
Table of Contents
Introduction -- Face detection and recognition techniques -- Subspace-based face recognition -- Face detection by Bayesian approach -- Face detection in color and infrared images -- Intelligent face detection -- Real-time face detection -- Face space boundary selection for face detection and recognition -- Evolutionary design for face recognition -- Frequency domain correlation filters in face recognition -- Subspace-based face recognition in frequency domain -- Landmark localization for face recognition -- Two-dimensional synthetic face generation using set estimation -- Datasets of face images for face recognition systems.
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