Face Recognition Based Beauty Algorithm in Smart City Applications

Abstract

Recently, social networking software is widespread used to achieve intelligent life in the construction of smart city, and sharing selfies on social platforms has been a trend of interaction. As a result, beauty software as a popular tool has been widely welcomed by social media users. Along with the development of beauty technology, the popular beauty software in the market include Qingyan, Meitu, VSCO and so on, whose functions continue to be expanded as users demand for image beautification. However, those functions tend to be manually adjusted by users, which would easily result in facial asymmetry. To address this issue, the principles and key points of several classical beauty algorithms are thoroughly investigated in this paper, such as skin beauty, beauty makeup, image artistry, portrait deformation and sharpening filter. In the experiments, the 68 face feature points in Dlib library are used to perform face detection and locate feature points, and Gaussian filtering, bilateral filtering, local translation and bilinear interpolation methods are used to realize the functions of these beauty algorithms. The analysis results have been shown to demonstrate the efficiency of the investigations.