Facial Attractiveness: Beauty and the Machine
Neural Computation
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Assessing facial beauty through proportion analysis by image processing and supervised learning
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Pattern Analysis & Applications
A benchmark for geometric facial beauty study
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Perception of (facial or bodily) beauty has long been debated amongst philosophers, artists, psychologists and anthropologists. Ancient philosophers claimed that there is a timeless, aesthetic ideal concept of beauty based on proportions, symmetry, harmony, and geometry, that goes well beyond the observer. Modern philosophers, on the other hand, have commonly suggested that beauty is in the eye of the beholder, and that beauty canons depend on culture. Despite the continuous interest and extensive research in cognitive, evolutionary and social sciences, modeling and analysis of human beauty and aesthetic canons remains open. Therefore, this paper aims to put the beauty trait under the spotlight by investigating various aspects involved in its perception and computation.