ETRA
2016
ACM
8 years 8 months ago
2016
ACM
Interpolation-based methods are widely used for gaze estimation due to their simplicity. In particular, feature-based methods that map the image eye features to gaze, are very pop...
ETRA
2016
ACM
8 years 8 months ago
2016
ACM
Learning-based methods for appearance-based gaze estimation achieve state-of-the-art performance in challenging real-world settings but require large amounts of labelled training ...
ETRA
2016
ACM
8 years 8 months ago
2016
ACM
Gaze estimation error is inherent in head-mounted eye trackers and seriously impacts performance, usability, and user experience of gaze-based interfaces. Particularly in mobile s...