Facial beauty analysis based on geometric feature: Toward attractiveness assessment application

作者：

Highlights：

• A facial beauty analysis toward attractiveness assessment application is presented.

• A geometric facial beauty score function is proposed for facial aesthetic perceptron.

• A semi-supervised learning with Hessian graph and random projection is proposed.

• A novel geometric facial beauty (GFB) database is provided in this paper.

摘要

•A facial beauty analysis toward attractiveness assessment application is presented.•A geometric facial beauty score function is proposed for facial aesthetic perceptron.•A semi-supervised learning with Hessian graph and random projection is proposed.•A novel geometric facial beauty (GFB) database is provided in this paper.

论文关键词：Facial beauty analysis,Geometric feature,Semi-supervised learning,Facial aesthetic perceptron,Attractiveness assessment

论文评审过程：Received 3 November 2015, Revised 28 March 2017, Accepted 7 April 2017, Available online 10 April 2017, Version of Record 19 April 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.021