Robust landmark‐free head pose estimation by learning to crop and background augmentation

Robust landmark‐free head pose estimation by learning to crop and background augmentation

It is well known that the performance of head pose estimation is greatly affected by the bounding box margin of the face and its background. Traditionally, researchers will manually choose a suitable bounding box margin to strike a balance between ensuring sufficient information and minimising backg...

Full description

Bibliographic Details
Main Authors: Aoru Xue, Kai Sheng, Songming Dai, Xiaoqiang Li
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:IET Image Processing
Subjects:
sufficient information
minimising background noise
box margin changes
convolutional cropping module
input image
attentional area
Online Access:https://doi.org/10.1049/iet-ipr.2019.1369

Internet

https://doi.org/10.1049/iet-ipr.2019.1369

Similar Items