Shaw-git/Lightweight-Head-Pose-Estimation
Code for TMM 2022 "Accurate Head Pose Estimation Using Image Rectification and Lightweight Convolutional Neural Network"
This project helps systems understand where a person's head is looking in an image or video, even if they aren't directly facing the camera. It takes an input image or video of a person and outputs the precise angles (pitch, yaw, roll) of their head. This is useful for anyone building applications in human-computer interaction, like those involving face detection, facial recognition, or analyzing expressions.
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Use this if you need highly accurate and fast head pose estimation from camera feeds, especially when people might not be looking directly at the camera, and your system's performance relies on precise head orientation.
Not ideal if your application doesn't require precise head orientation or if you need to detect faces in highly obscured or extremely low-resolution images where a face might not be clearly visible.
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48
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Language
Python
License
MIT
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Last pushed
Oct 27, 2022
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