RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild

1 code implementation • 3 Nov 2020 • Rafael Berral-Soler, Francisco J. Madrid-Cuevas, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez

In this work, we address this problem, defined here as the estimation of both vertical (tilt/pitch) and horizontal (pan/yaw) angles, through the use of a single Convolutional Neural Network (ConvNet) model, trying to balance precision and inference speed in order to maximize its usability in real-world applications.

Head Pose Estimation