一种基于非残差估计线性表示模型的人脸识别

摘要

The Dantzig selector constrains the representation model with L ∞norm of the related vector between the samples and residuals , so as a result it is more convenient and more adaptive .Traditional linear representation dealing with residuals depends on specific residual likelihood estimation of residual .In order to overcome this de-fect, A new face recognition algorithm based on the Dantzig selector is proposed , applying the concept of dealing with the residual and a high-efficiency solution to the Dantzig selector is also studied .Experiments conducted with commonly used face databases show that the Dantzig selector achieves good results with face recognition without re -sidual estimation .%Dantzig selector利用样本与残差之间的相关向量的Lゥ范数来约束线性表示模型，为了克服传统的线性表示在处理表示残差时依赖于一个对残差特定的似然估计这一缺陷将这样一种处理残差的思路用于人脸识别，提出了一种基于 Dantzig selector模型的人脸识别算法，并对Dantzig selector的一种有效的求解方法进行研究。在常用人脸库上实验表明，基于Dantzig selector人脸识别算法在不需要对残差进行估计的情况下也能取得了很好的识别效果。