Facial Beauty Prediction and Analysis based on Deep Convolutional Neural Network: A Review

Facial attractiveness or facial beauty prediction (FBP) is a current study that has several potential usages. It key difficulty area in the computer vision domain because of few public databases related to FBP and its experimental trials on minor-scale database. Moreover, evaluation personalized nature, with people having favor beauty. Deep learning techniques have displayed significant ability terms analysis feature representation. The previous studies focussed scattered portions fewer comparisons between diverse techniques. Thus, this article reviewed recent research face based deep convolution neural network DCNN. Furthermore, provided possible lines challenges can help researchers advancing state – of- art future work.