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Predicting (pitch - yaw - roll) head pose angles using XGboost Regressor

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Head Pose Estimation

Hi 👋, I'm Omar Moustafa

A junior Machine Learning Engineer

In this project I've worked on AFLW2000-3D dataset which is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks, with various head poses.

I've used mediapipe to extract faces landmarks which are 468 points in 3D, but we used X & Y only.

The regression model of predicting the 3 angles (pitch - yaw - roll) of head pose estimation was XGboost Regressor.

Connect with me:

linkedin.com/in/omar-moustafa

Languages and Tools:

opencv pandas python scikit_learn

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Predicting (pitch - yaw - roll) head pose angles using XGboost Regressor

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