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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 …
Openeds: Open eye dataset
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 …
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
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 …
technology. This area has long been dominated by iris recognition research, while other …
Exploring bias in sclera segmentation models: A group evaluation approach
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 …
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …
Adaptive deep feature fusion for continuous authentication with data augmentation
Mobile devices are becoming increasingly popular and are playing significant roles in our
daily lives. Insufficient security and weak protection mechanisms, however, cause serious …
daily lives. Insufficient security and weak protection mechanisms, however, cause serious …
MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation
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 …
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 …
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
Recently, ocular biometrics in unconstrained environments using images obtained at visible
wavelength have gained the researchers' attention, especially with images captured by …
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 …
speedy eye-tracking is required. Facebook Research has organized a challenge, named …
Sclerasegnet: an improved u-net model with attention for accurate sclera segmentation
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 …
on sclera segmentation algorithms are still limited in the literature. In this paper, we propose …