2.5D cascaded regression for robust facial landmark detection

@article{Xu201725DCR,
  title={2.5D cascaded regression for robust facial landmark detection},
  author={Jinwen Xu and Qijun Zhao and Xiaofeng Li and Yang Wang},
  journal={2017 IEEE International Joint Conference on Biometrics (IJCB)},
  year={2017},
  pages={124-132}
}
In this paper, we propose a 2.5D Cascaded Regression approach for accurately and robustly locating facial landmarks on RGB-D data. Instead of detecting facial landmarks on texture and depth images separately, the proposed method alternately applies depth-based and texture-based regressors to compute the necessary increments to the estimated landmarks so… CONTINUE READING