Symmetry and Beauty of Human Faces

Year: 2000 Authors: Teresa Breyer

Core claim

A multilayer perceptron can learn symmetry-based features to classify faces as beautiful or ordinary while wavelet decompositions help represent larger image datasets efficiently.

Topics

facial symmetry, attractiveness judgement, pattern recognition, wavelet decomposition

Domains

linear algebra, vector spaces, neural networks, statistical pattern recognition, human face aesthetics, visual perception, cultural judgment, image representation

Methods

multilayer perceptron, back-propagation, feature vectors, 2-dimensional wavelets

Media

face images, pixel matrices, Haar wavelets, computer simulations

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.