Age-group classification of facial images

作者：Liu Li^*; Liu Jianming; Cheng Jun

来源：11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012, 2012-12-12 to 2012-12-15.

DOI：10.1109/ICMLA.2012.129

• AAM
• Active appearance models
• Age estimation
• Age groups
• Age-group classifications
• Basis functions
• Face images
• Facial images
• Gaussians
• Gray value
• Principle component analysis
• RBF
• SVM

This paper presents the age-group classification based on facial images. We perform age-group classification by dividing ages into five age groups according to the incremental regulation of age. Features are extracted from face images through Active Appearance Model (AAM), which describe the shape and gray value variation of face images. Principle Component Analysis (PCA) is adopted to reduce the dimensions and Support Vector Machine (SVM) classifier with Gaussian Radian Basis RBF) kernel is trained. Experimental results demonstrate that AAM can improve the performance of age estimation.

• 出版日期2012