Facial Age Estimation Method Based on Fusion Classification and Regression Model

摘要：

　　Due to the large individual differences in the facial features of each person and the fact that the age has a certain time sequence,the age estimation based on face images faces certain difficulties.This article proposes a method based on fusion classification and regression model: A classification model and a regression model are added to the convolutional neural network to train the network under the premise of sharing convolutional layer parameters.The classification of the age of the label is used to code the age distribution,and the age is regressed using the Euclidean distance.The final predicted value of the model is the average of the two.Experiments show that the effect of fusion classification and regression model is better than that of a single model,which improves the accuracy of age estimation.

作者: Fengbing JIANG Yu ZHANG GuoLiang YANG

作者单位: Science and Technology College of Gannan Normal University,GanZhou,JiangXi,China 341000 School of Electrical Engineering and Automation,JiangXi University of Science and Technology,GanZhou

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-4

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）