OpenEDS2020 Challenge on Gaze Tracking for VR: Dataset and Results

OpenEDS2020 Challenge on Gaze Tracking for VR: Dataset and Results

This paper summarizes the OpenEDS 2020 Challenge dataset, the proposed baselines, and results obtained by the top three winners of each competition: (1) Gaze prediction Challenge, with the goal of predicting the gaze vector 1 to 5 frames into the future based on a sequence of previous eye images, an...

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Bibliographic Details
Main Authors: Cristina Palmero, Abhishek Sharma, Karsten Behrendt, Kapil Krishnakumar, Oleg V. Komogortsev, Sachin S. Talathi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
gaze prediction
semantic segmentation
gaze estimation
video oculography
virtual reality
Online Access:https://www.mdpi.com/1424-8220/21/14/4769

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https://www.mdpi.com/1424-8220/21/14/4769

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