Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression

@article{Yang2015FacialST,
  title={Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression},
  author={Jing Yang and Jiankang Deng and Kaihua Zhang and Qingshan Liu},
  journal={2015 IEEE International Conference on Computer Vision Workshop (ICCVW)},
  year={2015},
  pages={994-1002}
}
In this paper, we develop a spatio-temporal cascade shape regression (STCSR) model for robust facial shape tracking. It is different from previous works in three aspects. Firstly, a multi-view cascade shape regression (MCSR) model is employed to decrease the shape variance in shape regression model construction, which is able to make the learned regression model more robust to shape variances. Secondly, a time series regression (TSR) model is explored to enhance the temporal consecutiveness… CONTINUE READING
Highly Cited
This paper has 34 citations. REVIEW CITATIONS

12 Figures & Tables

Topics

Statistics

01020201620172018
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.