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 Practiceelaborates on andexplains the theory and practice of face detection and recognition systems currently in vogue. The book begins with an introduction to the state of the art, offering a general review of the available methods and an indication of future research using cognitive neurophysiology. The text then:
Face Detection and Recognition: Theory and Practice provides students, researchers, and practitioners with a single source for cutting-edge information on the major approaches, algorithms, and technologies used in automated face detection and recognition.
Introduction. Face detection and recognition techniques. Subspace based face recognition. Face detection by Bayesian approach. Face detection in colour 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 technique. Datasets of face images and performance tests for face recognition.