A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests
2017
IEEE Transactions on Affective Computing
Automatic facial expression classification (FER) from videos is a critical problem for the development of intelligent human-computer interaction systems. Still, it is a challenging problem that involves capturing high-dimensional spatio-temporal patterns describing the variation of one's appearance over time. Such representation undergoes great variability of the facial morphology and environmental factors as well as head pose variations. In this paper, we use Conditional Random Forests to
doi:10.1109/taffc.2017.2708106
fatcat:7adpvkdwfrbsdjl7446qmfrxpa