The cluster assessment of facial attractiveness using fuzzy neural network classifier based on 3D Moiré features
作者：
Highlights：
• An effective 3D feature extraction for facial attractiveness classification is applied.
• High accuracy rate of 90% and the AUC is 0.95 for classification is obtained.
• The facial attractiveness assessed can also be learned by machine learning techniques.
• An automated and objective judgment tool is presented.
• The potential applications, such as entertainment industry and plastic surgery.
摘要
•An effective 3D feature extraction for facial attractiveness classification is applied.•High accuracy rate of 90% and the AUC is 0.95 for classification is obtained.•The facial attractiveness assessed can also be learned by machine learning techniques.•An automated and objective judgment tool is presented.•The potential applications, such as entertainment industry and plastic surgery.
论文关键词：Facial attractiveness,Feature,Machine learning,Fuzzy neural network,Classification,Moiré
论文评审过程：Received 30 April 2012, Revised 21 August 2013, Accepted 17 September 2013, Available online 29 September 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.09.007
