Browsing Comunicaciones y ponencias de congresos DIEC - IEKS Biltzarretako komunikazioak eta txostenak by UPNA Author "Larumbe Bergera, Andoni"
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Gaze estimation problem tackled through synthetic images
(Association for Computing Machinery (ACM), 2020) Contribución a congreso / Biltzarrerako ekarpenaIn this paper, we evaluate a synthetic framework to be used in the field of gaze estimation employing deep learning techniques. The lack of sufficient annotated data could be overcome by the utilization of a synthetic ... -
Improved strategies for HPE employing learning-by-synthesis approaches
The first contribution of this paper is the presentation of a synthetic video database where the groundtruth of 2D facial landmarks and 3D head poses is available to be used for training and evaluating Head Pose Estimation ... -
SeTA: semiautomatic tool for annotation of eye tracking images
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 ... -
Supervised descent method (SDM) applied to accurate pupil detection in off-the-shelf eye tracking systems
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 ... -
U2Eyes: a binocular dataset for eye tracking and gaze estimation
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 ...