Face Recognition: Cognitive and Computational Processes critically discusses current research in face recognition, leading to an original approach with criminological applications. The book covers • The methodological and philosophical basis of research in face recognition. • Findings and their explanations, conceptual issues, theories and models of face recognition • The Catch Model (Rakover & Cahlon) for reconstructing (identifying) a face from memory, and other models and methods of face reconstruction. • Conscious perception and recognition of faces. The book also discusses original ideas on conceptualizing face perception and recognition in tasks of facial cognition, developing the Schema Theory and the Catch Model, and introducing Rakover & Cahlon's discovery of the proposed law of Face Recognition by Similarity (FRBS). (Series B)
Annotation In 1997, Rakover (U. of Haifa) and Cahlon (Oakland U, Michigan) won an award from the Minister of Internal Security of the State of Israel for developing the Catch model for face recognition. Since then they have proposed the law of Face Recognition by Similarity. Here they describe the computer and mathematical research they have conducted and some of their results. Annotation c. Book News, Inc., Portland, OR (booknews.com).
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