Listar por autor UPNA "Larumbe Bergera, Andoni"
Mostrando ítems 1-10 de 10
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Accurate pupil center detection in off-the-shelf eye tracking systems using convolutional neural networks
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
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
(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 ... -
Low cost gaze estimation: knowledge-based solutions
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
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
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 ... -
Synthetic gaze data augmentation for improved user calibration
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
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 ...