New Advances in Face Recognition' collects expert contributions from around the world in order to provide the reader with the most up-to-date account of knowledge in this fast-developing field. Face recognition technologies are now in great demand, and are typically used in security and biometric contexts. However, this book also presents exciting, cutting-edge research into how the human brain recognizes faces, including new research on face processing deficits in schizophrenia, neuroscientific advances in the understanding of the effect of temporal lobe lesions on face recognition, the heritability of face recognition, and face recognition in human-robot interaction. The first part of the book examines analysis, modelling and recognition systems. In the second part, new approaches discussed include the use of convolutional neural networks and high-level description. The third section offers a future-oriented perspective, featuring discussions of current issues such as the use of dynamic time warping algorithms, dimensionality reduction and face recognition without identification. The book's wide-ranging discussions will be of interest to researchers in biometrics and image processing, as well as those engaging with perceptual and cognitive questions of recognition.
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