Symmetry and Beauty of Human Faces

Teresa Breyer
Bridges: Mathematical Connections in Art, Music, and Science (2000)
Pages 339–346

Abstract

In this project we study the correlation between symmetry and attractiveness of faces through statistical pattern recognition and neural networks. We design an intelligent agent that learns to use a given set of standards to distinguish between beautiful and ordinary faces: We represent the faces as feature vectors in a vector space in order to measure the degree of symmetry. To implement a larger data set, we use 2-dimensional wavelet representation to improve the performance.

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