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gaze estimation #3

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Junxen opened this issue Aug 28, 2018 · 3 comments
Closed

gaze estimation #3

Junxen opened this issue Aug 28, 2018 · 3 comments

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@Junxen
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Junxen commented Aug 28, 2018

In the code, feature based gaze estimation is used instead of model based method. Is feature estimator better in accuracy?

@swook
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swook commented Sep 19, 2018

Sorry for the delay in responding. The feature-based estimator may work better for calibrated or personalized gaze estimation whereas model-based gaze estimation may work well for cross-dataset evaluations.

The code provided in this repository performs a very naive "model-fitting" and enabling the actual model-fitting method slows the demo down slightly. See https://github.com/swook/GazeML/blob/master/src/elg_demo.py#L275 for where to enable it and https://github.com/swook/GazeML/blob/master/src/models/elg.py#L305 for the actual fitting code.

@tuanphuc
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tuanphuc commented Oct 12, 2018

Hi @swook ,
AFAIK, the model ouputs the global gaze (gaze in the coordinates of the camera). Global gaze = head pose + local gaze (gaze in the head coordinates). Do you think that it might work if we train the model to output head pose and local gaze instead of global gaze ?
Thanks

@swook
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swook commented Oct 12, 2018

Hi, you can refer to the Zhu and Deng paper from ICCV 2017 for an example of the idea you describe.

@swook swook closed this as completed Dec 7, 2018
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