AUTOMATIC AGE ESTIMATION BASED ON LOCAL FEATURE OF FACE IMAGE AND REGRESSION

摘要：

With the extensive study on various facial variations, such as illumination, expression gender and age, more and more researchers have realized the importance of the aging effect to a robust face recognition system and engaged in the study on automatic human age estimation based on analysis of human face images. But up to now, most of them focus on the methods based on features extracted from the whole face Image. In this paper, we develop a framework to estimate human age using the local features from some regions of human face images which are sensitive to aging process. The adaboost algorithm is applied to find the regions we need and LBP features are extracted to model a robust quadratic regression function for age estimation.

关键词： Local feature estimation adaboost LBP robust quadratic regression

作者: CHUAN-HUI JU YUN-HONG WANG

作者单位: School of Computer Science and Engineering, Beihang University, Beijing 100191, China

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 885-888

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）