Project for biometric systems course at FIT VUT. There are 3 methods implemented:
- Using 3D model of a face and PnP
- Using first frame for initialisation and computing head pose estimation via movement changes
- Using geometry and relationships between anthropometric points
Usage:
main.py [-h] [-i {image,video,camera}] [-p PATH] [-m {0,1,2}]
Head pose estimation (yaw, pitch, roll)
optional arguments:
-h, --help show this help message and exit
-i {image,video,camera}
type of input: image, video, camera
-p PATH path to input file
-m {0,1,2} method used to estimate head pose: 0 - 3D model, 1 -
tracking, 2 - geometry
