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NawwarAdam avatar NawwarAdam commented on August 19, 2024

Where did u find the 1 ?
The 36 landmarks-based features are then used to train a support vector regressor (SVR) which directly estimates a gaze directionin 3D, (θ,ϕ) representing eyeball pitch and yaw respectively. The SVR can be trained to be person-independent with a large number of images from different people, or from a small set of person-specific images for personalized gaze estimation.#

  1. We found that employing strong data augmentation during training improves the performance of the model in the context of gaze estimation.
    UnityEyes is too perfect for real-world-scenarios

  1. idk but i'll also appreciate it if somebody can answer it :D

  1. i don't understand ur q, sry

I hope that'd help u with ur project

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Hyrtsi avatar Hyrtsi commented on August 19, 2024

@abnerdesigner1992 are you talking about ELG or DPG paper?

I think they used the simulator to train the model entirely. The MPIIGaze training data can be downloaded using the script provided in this repo so you can check yourself how the dataset looks like and if it's applicable for your suggestion.

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