计算机与数字工程2024，Vol.52Issue(3)：846-851,6.DOI:10.3969/j.issn.1672-9722.2024.03.036
融合主动形状与局部二值模式的年龄估算方法
Age Estimation Method Based on Fusion of Active Shape and Local Binary Pattern
摘要
Abstract
To make better use of the biological information contained in facial images,which will improve the accuracy of age estimation,an age estimation method based on active shape model and local binary pattern(AEM-ASLB)is proposed.First,the image feature set consists of the facial geometric feature points and texture feature information,and the facial feature points of the key position are carried out by active shape model,while the texture information of the facial skin is sampled by local binary model.Then,the geometric features and texture information extracted are trained by Gaussian process regression model to get the straight square of the features,and further normalized to texture feature vector.The experiment shows that the proposed method can precise-ly estimate the age by facial image,and reduce the use of classifiers,the whole method is clear and easy to realize.关键词
人脸图像/年龄估计/几何比例/纹理特征/高斯过程回归Key words
facial image/age estimation/geometric proportion/texture features/Gaussian process regression分类
信息技术与安全科学引用本文复制引用
乔雨,圣文顺,吴佳伟..融合主动形状与局部二值模式的年龄估算方法[J].计算机与数字工程,2024,52(3):846-851,6.基金项目
江苏省高校自然科学研究面上项目(编号:19KJD520005) （编号:19KJD520005）
南京工业大学浦江学院自然科学研究项目(编号:njpj2020-1-07) （编号:njpj2020-1-07）
大学生创新创业挑战项目(编号:PJ20211390503)资助. （编号:PJ20211390503）
