Robust Face Recognition via Sparse Representation
SRC(Sparse Representation for classification)論文介紹了一種分類方法，利用該分類方法得到一系列的稀疏係數，根據該係數得到test數據的所屬類別。稀疏係數描述：即一張人臉圖像，可以用數據庫中同一個人所有的人臉圖像的線性組合表示。而對於數據庫中其它人的臉，其線性組合的係數理論上爲零。 上圖最左邊是一張test image (有遮擋，有噪點)等號右邊第一列就是
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相關文章
- 1. Robust Face Recognition via Sparse Representation
- 2. Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
- 3. 人臉識別-Pose(1):DREAM:Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
- 4. Sparse Representation論文
- 5. 論文解讀 | Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
- 6. 18.7.12 Pose-Robust Face Recognition via Deep Residual Equivariant Mapping 小感
- 7. Image super-resolution via sparse representation論文總結
- 8. Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation
- 9. Local Generic Representation for Face Recognition with Single Sample per Person (ACCV, 2014)
- 10. 【論文整理】DNN-Face-Recognition-Papers DeepID Series