Now showing items 1-10 of 10

    • Accurate pupil center detection in off-the-shelf eye tracking systems using convolutional neural networks 

      Larumbe Bergera, Andoni Upna Orcid; Garde Lecumberri, Gonzalo Upna; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (MDPI, 2021)   Artículo / Artikulua  OpenAccess
      Remote eye tracking technology has suffered an increasing growth in recent years due to its applicability in many research areas. In this paper, a video-oculography method based on convolutional neural networks (CNNs) for ...
    • Fast and robust ellipse detection algorithm for head-mounted eye tracking systems 

      Martinikorena Aranburu, Ion Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid; Urtasun, Iñaki; Larumbe Bergera, Andoni Upna Orcid (Springer, 2018)   Artículo / Artikulua  OpenAccess
      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 ...
    • Gaze estimation problem tackled through synthetic images 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Bossavit, Benoît Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (Association for Computing Machinery (ACM), 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      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 Upna Orcid; Ariz Galilea, Mikel Upna; Bengoechea Irañeta, José Javier Upna; Segura, Rubén; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (IEEE, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      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 ...
    • Low cost gaze estimation: knowledge-based solutions 

      Martinikorena Aranburu, Ion Upna Orcid; Larumbe Bergera, Andoni Upna Orcid; Ariz Galilea, Mikel Upna; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (IEEE, 2020)   Artículo / Artikulua  OpenAccess
      Eye tracking technology in low resolution scenarios is not a completely solved issue to date. The possibility of using eye tracking in a mobile gadget is a challenging objective that would permit to spread this technology ...
    • Low-cost eye tracking calibration: a knowledge-based study 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Bossavit, Benoît Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (MDPI, 2021)   Artículo / Artikulua  OpenAccess
      Subject calibration has been demonstrated to improve the accuracy in high-performance eye trackers. However, the true weight of calibration in off-the-shelf eye tracking solutions is still not addressed. In this work, a ...
    • SeTA: semiautomatic tool for annotation of eye tracking images 

      Larumbe Bergera, Andoni Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (ACM, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      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 Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (ACM, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      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 ...
    • Synthetic gaze data augmentation for improved user calibration 

      Garde Lecumberri, Gonzalo Upna; Larumbe Bergera, Andoni Upna Orcid; Porta Cuéllar, Sonia Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Villanueva Larre, Arantxa Upna Orcid (Springer, 2021)   Capítulo de libro / Liburuen kapitulua  OpenAccess
      In this paper, we focus on the calibration possibilitiesó of a deep learning based gaze estimation process applying transfer learning, comparing its performance when using a general dataset versus when using a gaze specific ...
    • U2Eyes: a binocular dataset for eye tracking and gaze estimation 

      Porta Cuéllar, Sonia Upna Orcid; Bossavit, Benoît Upna Orcid; Cabeza Laguna, Rafael Upna Orcid; Larumbe Bergera, Andoni Upna Orcid; Garde Lecumberri, Gonzalo Upna; Villanueva Larre, Arantxa Upna Orcid (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      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 ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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