基于深度流形学习的人脸年龄识别
Facial Age Recognition Based on Deep Manifold Learning
摘要
Abstract
Most of existing face age recognition methods use deep learning framework to extract face features to identify age,but high-dimensional face features extracted by deep learning methods often contain a lot of redundant information,which is not conducive to face age recognition.In order to improve the accuracy and robustness of face age recognition algorithm,an algorithm based on Deep Manifold Learning(DML)is proposed.DML first uses deep learning to extract face features,and then selects discriminative face features through manifold Learning,that is,high-dimensional face features extracted by deep learning are embedded into a low-dimensional discriminant subspace to identify age.Experiments on the DML algorithm are carried out on the public face databases MORPH and FG-NET.Experi-ment results show that the Mean Absolute Error(MAE)of DML is significantly reduced,and the Cumulative Score(CS)is significantly improved under different error values,which is significantly superior to current popular face age recognition methods.关键词
年龄识别/流形学习/深度学习/卷积神经网络/特征提取/平均绝对误差Key words
age recognition/manifold learning/deep learning/convolutional neural network/feature extraction/MAE分类
信息技术与安全科学引用本文复制引用
张会影,圣文顺,金鑫..基于深度流形学习的人脸年龄识别[J].无线电通信技术,2024,50(4):799-806,8.基金项目
2022南京工业大学浦江学院教学改革重中之重项目(2022JG001Z) （2022JG001Z）
2023年度江苏高校哲学社会科学研究项目(2023SJYB0687) （2023SJYB0687）
南京工业大学浦江学院自然科学重点培育项目(njpj2022-1-06) （njpj2022-1-06）
江苏省高校"青蓝工程"项目(苏教师函[2021]11号) （苏教师函[2021]11号）
安徽省高校优秀青年人才支持计划项目(gxyq2022108)Pujiang Institute of Nanjing Tech University,Top priority Education Reform Project in 2022(2022JG001Z) （gxyq2022108）
2023 Jiangsu Province Universities Philosophy and Social Science Research Project(2023SJYB0687) （2023SJYB0687）
Key Natural Science Cultivation Project of Pujiang Institute of Nanjing Tech University(njpj2022-1-06) （njpj2022-1-06）
Qinglan Project of Jiangsu Province Universities(Su Teacher's Letter[2021]No.11) （Su Teacher's Letter[2021]No.11）
Anhui Province Universities Outstanding Young Talent Support Program(gxyq2022108) （gxyq2022108）
