Abstract
Facial symmetry is a key component in quantifying the perception of beauty. In this paper, we propose a set of facial features computed from facial landmarks which can be extracted at a low computational cost. We quantitatively evaluated the proposed features for predicting perceived attractiveness from human portraits on four benchmark datasets (SCUT-FBP, SCUT-FBP5500, FACES and Chicago Face Database). Experimental results showed that the performance of the proposed features is comparable to those extracted from a set with much denser facial landmarks. The computation of facial features was also implemented as an augmented reality (AR) app developed on Android OS. The app overlays four types of measurements and guidelines over a live video stream, while the facial measurements are computed from the tracked facial landmarks at run time. The developed app can be used to assist plastic surgeons in assessing facial symmetry when planning reconstructive facial surgeries.
Highlights
The human face is central to many aspects of social interaction [1]
To further evaluate the proposed features quantitatively, we conducted a series of experiments on the following four benchmark datasets: SCUT-FBP [22], SCUT-FBP5500 [23], FACES [24], and Chicago Face Database (CFD) [25]
The results show that the proposed facial symmetry features can be successfully combined with widely used features, based on the distances of facial landmarks, to boost the beauty score prediction performance
Summary
The human face is central to many aspects of social interaction [1]. There have been several studies suggesting that individuals deemed as being attractive are more likely to achieve prestigious occupations, to have better prospects for personal fulfillment and to benefit from additional social advantages in their everyday lives [3, 4]. These observations have subsequently garnered the attention of researchers, in seeking to determine whether attractiveness can be considered objective or subjective. Both in the fields of psychology and medical science, suggest that facial attractiveness can be quantified [5, 6]
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