Evaluating Facial Attractiveness through Proportions Analysis Based on Geometric Features

Abstract

Nowadays, having information about features of an attractive individual’s face plays a crucial role in self-confidence and high performance in such careers as managing a company, marketing, modeling, advertising, etc. In this paper, we intend to determine the features of an ideal individual’s face. For this purpose, we used our proposed method in addition to four angles and distance analysis to find out more parameters of an ideal face. In our method new points (left mouth corner, outer corner of the left eye, right mouth corner, outer corner of the left eye,) and new distances are defined for analyzing individual faces. After that, the results from all the methods mentioned above are compared in both cases of normal attractive individuals. MATLAB software was used to compute all parameters of each considered methods. Our results can be used as criteria to discriminate attractive and normal individuals. Our methods can be used in such applications as automatic face image filtering systems modeling and fashion show, business, and marketing.

Keywords: Facial Attractiveness; Geometric Feature; Facial Beauty; Attractiveness Assessment; Statistical Analysis

Cite this Article: Shakiba Ahmadimehr, Mohammad Karimi Moridani. Evaluating Facial Attractiveness through Proportions Analysis Based on Geometric Features. Journal of Image Processing & Pattern Recognition Progress. 2020; 7(2): 20–26p.