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Fast and robust ellipse detection algorithm for head-mounted eye tracking systems
(Springer, 2018)
info:eu-repo/semantics/article,
In head-mounted eye tracking systems, the correct detection of pupil position is a key factor in estimating gaze direction.
However, this is a challenging issue when the videos are recorded in real-world conditions, due ...
Evaluation of accurate eye corner detection methods for gaze estimation
(Bern Open Publishing, 2014)
info:eu-repo/semantics/article,
Accurate detection of iris center and eye corners appears to be a promising approach for low cost gaze estimation. In this paper we propose novel eye inner corner detection methods. Appearance and feature based segmentation ...
Supervised descent method (SDM) applied to accurate pupil detection in off-the-shelf eye tracking systems
(ACM, 2018)
info:eu-repo/semantics/conferenceObject,
The precise detection of pupil/iris center is key to estimate gaze accurately. This fact becomes specially challenging in low cost frameworks in which the algorithms employed for high performance systems fail. In the last ...
SeTA: semiautomatic tool for annotation of eye tracking images
(ACM, 2019)
info:eu-repo/semantics/conferenceObject,
Availability of large scale tagged datasets is a must in the field of deep learning applied to the eye tracking challenge. In this paper, the potential of Supervised-Descent-Method (SDM) as a semiautomatic labelling tool ...
U2Eyes: a binocular dataset for eye tracking and gaze estimation
(IEEE, 2019)
info:eu-repo/semantics/conferenceObject,
Theory shows that huge amount of labelled data are needed in order to achieve reliable classification/regression methods when using deep/machine learning techniques. However, in the eye tracking field, manual annotation ...