Eigenface in the Machine Learning Development of Facial Visual Artifacts

By Gary Hammons Jr

In an age where artificial intelligence increasingly defines how we see the world-and how the world sees us-Eigenface in the Machine explores the fascinating intersection of facial recognition, machine learning, and digital aesthetics. Gary Hammons Jr presents a thought-provoking journey into how machines learn to perceive and interpret the human face, and how those interpretations give rise to new forms of visual artifacts.

This book traces the evolution of the eigenface algorithm, from its mathematical roots in principal component analysis (PCA) to its central role in modern facial recognition systems. Beyond the technical, it considers the deeper implications of training machines to analyze human faces: what is gained, what is distorted, and what is revealed when identity becomes data.

By examining both the scientific foundations and the cultural consequences of machine-learned facial imagery, readers are invited to reflect on how technology abstracts, amplifies, and sometimes redefines human features. Hammons also investigates the growing world of AI-generated art, where facial artifacts become creative expressions rather than just biometric tools.

Inside this book, you'll find:

A detailed breakdown of the eigenface method and its mathematical underpinningsHow PCA and machine learning models shape facial recognition systemsThe role of bias, abstraction, and distortion in visual data processingCritical perspectives on how machine vision interacts with human identityCase studies and examples of AI-generated visual art from facial dataPhilosophical and artistic reflections on the boundaries between face, code, and creativity

Perfect for computer scientists, AI researchers, digital artists, and cultural theorists, Eigenface in the Machine offers a multidisciplinary lens on one of the most compelling visual frontiers of our time.

• Format: Paperback
• Language: English
• ISBN: B0F57BV7K8
• ISBN13: 9798349294167
• Release Date: April 2025
• Publisher: Snowman Beak
• Length: 180 Pages
• Weight: 0.55 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"