Assessing Facial Symmetry and Attractiveness using Augmented Reality

Wei, Wei, Ho, Edmond, McCay, Kevin, Damaševičius, Robertas, Maskeliūnas, Rytis and Esposito, Anna (2021) Assessing Facial Symmetry and Attractiveness using Augmented Reality. Pattern Analysis and Applications. ISSN 1433-7541 (In Press)

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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 our 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 our 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 guide lines 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.

Item Type: Article
Uncontrolled Keywords: Facial Symmetry, Facial Analysis, Augmented Reality, Mobile App
Subjects: G400 Computer Science
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 26 Mar 2021 11:14
Last Modified: 26 Mar 2021 11:15
URI: http://nrl.northumbria.ac.uk/id/eprint/45802

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