Facial Expression Recognition Using KCCA
Zheng, W., et al. (2006).Neural Networks, IEEE Transactions on 17(1): 233-238.web 在每一個面部圖像標記34個特徵點，利用Gabor變換提取特徵，造成一個labeled graph(LG) vector,表明了面部圖像的特徵。對於每一個訓練的面部圖像，the semantic ratings describing th
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相關文章
- 1. Deep Covariance Descriptors for Facial Expression Recognition
- 2. Deep Facial Expression Recognition: A Survey
- 3. Facial Expression Recognition by De-expression Residue Learning
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- 5. 2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition閱讀筆記
- 6. Facial Expression Recognition by De-expression Residue Learning閱讀筆記
- 7. Facial Expression Recognition by De-expression Residue Learning-論文筆記
- 8. Joint Pose and Expression Modeling for Facial Expression Recognition 論文翻譯
- 9. FERAtt: Facial Expression Recognition with Attention Net閱讀筆記
- 10. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解讀