Robust Face Recognition via Sparse Representation
SRC(Sparse Representation for classification)论文介绍了一种分类方法，利用该分类方法得到一系列的稀疏系数，根据该系数得到test数据的所属类别。稀疏系数描述：即一张人脸图像，可以用数据库中同一个人所有的人脸图像的线性组合表示。而对于数据库中其它人的脸，其线性组合的系数理论上为零。 上图最左边是一张test image (有遮挡，有噪点)等号右边第一列就是
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相关文章
- 1. Robust Face Recognition via Sparse Representation
- 2. Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
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- 4. Sparse Representation论文
- 5. 论文解读 | Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
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- 7. Image super-resolution via sparse representation论文总结
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- 9. Local Generic Representation for Face Recognition with Single Sample per Person (ACCV, 2014)
- 10. 【论文整理】DNN-Face-Recognition-Papers DeepID Series