Unsupervised Evaluation of Facial Appearance Beauty

Aiming at some limits existing in some literatures with complex computation,a new method of unsupervised evaluating human appearance beauty is developed based on the golden proportion distribution in aesthetic standard of the face appearance and the facial thirds in facial region.The facial region is extracted according to Haar-like features in the face at first.Some facial features are extracted and determined their locations.The facial boundary is ascertained based on skin clutter characteristics.There are some different proportions and evaluating weights in the extracted facial features.The facial appearance beauty is automatic evaluated by computing the difference between the proportions of the extracted facial features and the ones in the aesthetic standard of the face appearance.The performance of the proposed method is compared with some similar methods,which shows the proposal performs is better.The experimental results highlight that the developed method estimates beauty efficiently.