Browsing Comunicaciones y ponencias de congresos DIEC - IEKS Biltzarretako komunikazioak eta txostenak by UPNA Author "Cabeza Laguna, Rafael"
Now showing items 1-6 of 6
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Gaze estimation problem tackled through synthetic images
Garde Lecumberri, Gonzalo
; Larumbe Bergera, Andoni 
; Bossavit, Benoît ; Cabeza Laguna, Rafael ; Porta Cuéllar, Sonia ; Villanueva Larre, Arantxa (Association for Computing Machinery (ACM), 2020)
Contribución a congreso / Biltzarrerako ekarpena 
In 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
Larumbe Bergera, Andoni ; Ariz Galilea, Mikel ; Bengoechea Irañeta, José Javier ; Segura, Rubén; Cabeza Laguna, Rafael ; Villanueva Larre, Arantxa (IEEE, 2018)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
Introducing I2Head database
Martinikorena Aranburu, Ion ; Cabeza Laguna, Rafael ; Villanueva Larre, Arantxa ; Porta Cuéllar, Sonia (ACM (Association for Computing Machinery), 2018)
Contribución a congreso / Biltzarrerako ekarpena
I2Head database has been created with the aim to become an optimal reference for low cost gaze estimation. It exhibits the following outstanding characteristics: it takes into account key aspects of low resolution eye ... -
SeTA: semiautomatic tool for annotation of eye tracking images
Larumbe Bergera, Andoni ; Porta Cuéllar, Sonia ; Cabeza Laguna, Rafael ; Villanueva Larre, Arantxa (ACM, 2019)
Contribución a congreso / Biltzarrerako ekarpena
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
Larumbe Bergera, Andoni ; Cabeza Laguna, Rafael ; Villanueva Larre, Arantxa (ACM, 2018)
Contribución a congreso / Biltzarrerako ekarpena
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
Porta Cuéllar, Sonia ; Bossavit, Benoît ; Cabeza Laguna, Rafael ; Larumbe Bergera, Andoni ; Garde Lecumberri, Gonzalo ; Villanueva Larre, Arantxa (IEEE, 2019)
Contribución a congreso / Biltzarrerako ekarpena
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 ...
