Automatic gaze analysis: A survey of deep learning based approaches
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Deep learning-based pupil center detection for fast and accurate eye tracking system
In augmented reality (AR) or virtual reality (VR) systems, eye tracking is a key technology
and requires significant accuracy as well as real-time operation. Many techniques for …
and requires significant accuracy as well as real-time operation. Many techniques for …
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 …
applicability in many research areas. In this paper, a video-oculography method based on …
Pupil localization using geodesic distance
R Fusek - Advances in Visual Computing: 13th International …, 2018 - Springer
The main contributions of the presented paper can be summarized as follows. Firstly, we
introduce a unique and robust dataset of human eyes that can be used in many detection …
introduce a unique and robust dataset of human eyes that can be used in many detection …
Improving RF-based partial discharge localization via machine learning ensemble method
ET Iorkyase, C Tachtatzis, IA Glover… - … on Power Delivery, 2019 - ieeexplore.ieee.org
Partial discharge (PD) is regarded as a precursor to plant failure and therefore, an effective
indication of plant condition. Locating the source of PD before failure is key to efficient …
indication of plant condition. Locating the source of PD before failure is key to efficient …
Vision-Based Eye Image Classification for Ophthalmic Measurement Systems
The accuracy and the overall performances of ophthalmic instrumentation, where specific
analysis of eye images is involved, can be negatively influenced by invalid or incorrect …
analysis of eye images is involved, can be negatively influenced by invalid or incorrect …
[HTML][HTML] Methods for Detecting the Patient's Pupils' Coordinates and Head Rotation Angle for the Video Head Impulse Test (vHIT), Applicable for the Diagnosis of …
GD Mamykin, AA Kulesh, FL Barkov, YA Konstantinov… - Computation, 2024 - mdpi.com
In the contemporary era, dizziness is a prevalent ailment among patients. It can be caused
by either vestibular neuritis or a stroke. Given the lack of diagnostic utility of instrumental …
by either vestibular neuritis or a stroke. Given the lack of diagnostic utility of instrumental …
L6dnet: Light 6 DoF network for robust and precise object pose estimation with small datasets
M Gonzalez, A Kacete, A Murienne… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Estimating the 3D pose of an object is a challenging task that can be considered within
augmented reality or robotic applications. In this letter, we propose a novel approach to …
augmented reality or robotic applications. In this letter, we propose a novel approach to …
Eyes localization algorithm based on prior MTCNN face detection
X Chen, X Luo, X Liu, J Fang - 2019 IEEE 8th Joint International …, 2019 - ieeexplore.ieee.org
Aiming at the inaccuracy of the regression position of MTCNN human eyes when the image
resolution is low, a method for eyes localization algorithm which is based on prior MTCNN …
resolution is low, a method for eyes localization algorithm which is based on prior MTCNN …
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 …
becomes specially challenging in low cost frameworks in which the algorithms employed for …