Dense Time Representation and Redundancy Elimination Recursive Sums of Residues Algorithm Based on Binary Redundant Representations 稠密时间表示及冗余消除基于二进制冗余数的递归余数和算法
First Dense SIFT descriptors are used to capture the texture of face images. Then the sparse representation is used to coding the original features to a learned dictionary. 先使用DenseSIFT描述子来提取人脸图像的纹理信息,然后利用稀疏表示方法将提取的DenseSIFT特征编码成一个已学习到的字典上的稀疏表示。