Originally published in 1995, much of the previous research on face recognition had been phenomena driven. Recent empirical work together with the application of computational, mathematical and statistical techniques have provided new ways of conceptualizing the information available in faces. This title provides a state of the art review of the field at the time in which the authors use a wide variety of approaches.

List of Illustrations. List of Contributors. Preface. 1. The Development of Face Recognition Robert A. Johnston and Hadyn D. Ellis 2. Expertise and the Caricature Advantage Sarah V. Stevenage 3. Face Recognition and Configural Coding Gillian Rhodes 4. An Account of the Own-Race Bias and the Contact Hypothesis based on a 'Face Space' Model of Face Recognition Tim Valentine, Patrick Chiroro and Ruth Dixon 5. Distinctiveness and Memory for Unfamiliar Faces Judith A. Hosie and Alan B. Milne 6. Memorability, Familiarity and Categorical Structure in the Recognition of Faces John R. Vokey and J. Don Read 7. Missing Dimensions of Distinctiveness Vicki Bruce, A. Mike Burton and Peter J. Hancock 8. A Perceptual Learning Theory of the Information in Faces Alice J. O'Toole, Hervé Abdi, Kenneth A. Deffenbacher and Dominique Valentin 9. A Manifold Model of Face and Object Recognition Ian Craw 10.Perspectives on Face Perception. Directing Research by Exploiting Emergent Prototypes Philip J. Benson. Name Index. Subject Index.