z-mahmud22/MSGazeNet
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
This project helps researchers and developers accurately estimate a person's gaze direction from eye images, even in varied real-world conditions. It takes images or videos of a person's eyes and their head pose as input, and outputs the precise direction of their gaze. This tool is designed for computer vision scientists, human-computer interaction researchers, and those building systems that require understanding where a user is looking.
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Use this if you are a researcher or developer working on gaze tracking and need a robust model to estimate eye gaze from diverse eye region images.
Not ideal if you are looking for an off-the-shelf, plug-and-play solution without any programming or deep learning setup.
Stars
29
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jun 04, 2024
Commits (30d)
0
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