Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis

@inproceedings{Liu2014FeatureDM,
  title={Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis},
  author={Ping Liu and Joey Tianyi Zhou and Ivor W. Tsang and Zibo Meng and Shizhong Han and Yan Tong},
  booktitle={ECCV},
  year={2014}
}
Studies in psychology show that not all facial regions are of importance in recognizing facial expressions and different facial regions make different contributions in various facial expressions. Motivated by this, a novel framework, named Feature Disentangling Machine (FDM), is proposed to effectively select active features characterizing facial expressions. More importantly, the FDM aims to disentangle these selected features into non-overlapped groups, in particular, common features that are… CONTINUE READING
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