抗年龄干扰的人脸识别

本文将人脸图像特征分解为身份特征部分和年龄干扰特征部分，并分别投影到两个独立的子空间.为了提高由字典张成的特征子空间的表征能力和区分能力，字典学习过程中同时引入了人脸图像的重构误差约束项和类别约束项.因此，任意的人脸特征都可以由学习到的身份字典和年龄字典投影到对应的身份子空间和年龄子空间，然后再基于身份子空间进行人脸识别，从而使年龄的干扰得到了有效的抑制.通过在MORPH和FGNET数据库上的实验，证实了基于年龄不变的身份特征子空间学习方法能提升人脸识别性能.

Age Invariant Face Recognition

In this paper,the face image is divided into two separated parts:aging effect feature part and identity related feature part.The identity dictionary and the age dictionary are introduced to encode the two feature parts into two separated feature spaces.To make sure the learned dictionaries are discriminative for different classes,the reconstruction error and label matrices constraints are added in the training.Face features can be encoded into identity and age space with the learned identity and age dictionaries.The identity space can be used for further classification.Extensive experiments are conducted on the MORPH and FGNET dataset,illustrating a great improvement over the state-of-the-arts.