Rank Beauty

摘要：

　　It is useful to automatically select the most attractive face images from large photo collections.Previous works in this area have little attention on facial attractiveness for one subject,but different objects.In this paper,we have a collection of subjects faces including a range of expression,postures,makeup,lighting and resolutions from Bing Search.Given training data of faces scored based on the majority of subjects tastes,we train a model to learn how to rank novel faces and show how it can be used to automatically mine attractive photos from personal photo collections.Our system achieves an average accuracy of 73%on pairwise comparisons of novel faces.

关键词： Facial aesthetic Crowdsourcing Rank

作者: Yanbing Liao Weihong Deng Can Cui

作者单位: Beijing University of Posts and Telecommunications,Beijing 100876,China Beijing University of Posts and Telecommunications,Beijing 100876,China;Beijing Jiaotong University, Beijing Jiaotong University,Beijing 100044,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 173-181

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）