Automatic gaze analysis: A survey of deep learning based approaches

S Ghosh, A Dhall, M Hayat, J Knibbe… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Openeds: Open eye dataset

SJ Garbin, Y Shen, I Schuetz, R Cavin… - arxiv preprint arxiv …, 2019 - arxiv.org
We present a large scale data set, OpenEDS: Open Eye Dataset, of eye-images captured
using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing …

A comprehensive investigation into sclera biometrics: a novel dataset and performance study

M Vitek, P Rot, V Štruc, P Peer - Neural Computing and Applications, 2020 - Springer
The area of ocular biometrics is among the most popular branches of biometric recognition
technology. This area has long been dominated by iris recognition research, while other …

Exploring bias in sclera segmentation models: A group evaluation approach

M Vitek, A Das, DR Lucio, LA Zanlorensi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Bias and fairness of biometric algorithms have been key topics of research in recent years,
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …

Adaptive deep feature fusion for continuous authentication with data augmentation

Y Li, L Liu, H Qin, S Deng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile devices are becoming increasingly popular and are playing significant roles in our
daily lives. Insufficient security and weak protection mechanisms, however, cause serious …

MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation

C Wang, H Li, W Ma, G Zhao, Z He - Neural Computing and Applications, 2023 - Springer
Sclera segmentation is a key component of sclera recognition, which decides the region-of-
interest (ROI) for recognition and has a considerable impact on the overall performance. In …

Ensemble convolutional neural networks and transformer-based segmentation methods for achieving accurate sclera segmentation in eye images

A Al-Zebari - Signal, Image and Video Processing, 2024 - Springer
In the realms of biometrics and computer vision, the sclera assumes a pivotal role in
individual identification. Serving as the eye's outer layer, it offers a distinct and reliable …

A new periocular dataset collected by mobile devices in unconstrained scenarios

LA Zanlorensi, R Laroca, DR Lucio, LR Santos… - Scientific Reports, 2022 - nature.com
Recently, ocular biometrics in unconstrained environments using images obtained at visible
wavelength have gained the researchers' attention, especially with images captured by …

Eyenet: Attention based convolutional encoder-decoder network for eye region segmentation

P Kansal, S Devanathan - 2019 IEEE/CVF International …, 2019 - ieeexplore.ieee.org
With the immersive development in the field of augmented and virtual reality, accurate and
speedy eye-tracking is required. Facebook Research has organized a challenge, named …

Sclerasegnet: an improved u-net model with attention for accurate sclera segmentation

C Wang, Y He, Y Liu, Z He, R He… - … on Biometrics (ICB), 2019 - ieeexplore.ieee.org
Accurate sclera segmentation is critical for successful sclera recognition. However, studies
on sclera segmentation algorithms are still limited in the literature. In this paper, we propose …