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Routledge Face Recognition: Cognitive and Computational Aspects

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Description

Explore the complex science behind how humans and computers identify faces. Originally published in 1995, this Psychology Library Edition examines the shift from phenomena-driven research to modern empirical studies. By applying computational, mathematical, and statistical techniques, this work offers new ways to conceptualize the information found in human faces. Readers will learn why caricatures of famous people are so easy to recognize and how the structure of face populations explains various recognition phenomena. This text bridges the gap between psychology and computer science, making it a valuable resource for those studying AI, machine learning, and human perception. It brings together diverse research approaches to explain how information is processed in face space.

Key Features

Explores the transition from traditional phenomena-driven research to modern empirical methods using mathematical and statistical techniques.

Investigates the computational aspects of face recognition to understand how computers can identify human features.

Analyzes the psychology of recognition, including why caricatures of famous faces are so easily identified by the human brain.

Provides a broad approach that connects cognitive psychology with computational models and face space theory.

Offers insights into how the structure of face populations influences the way information is conceptualized and processed.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 March 2017
Listed Since
17 September 2016

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