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 …
Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation
Augmented and virtual reality deployment is finding increasing use in novel applications.
Some of these emerging and foreseen applications allow the users to access sensitive …
Some of these emerging and foreseen applications allow the users to access sensitive …
[PDF][PDF] Artificial Intelligence-Based Semantic Segmentation of Ocular Regions for Biometrics and Healthcare Applications.
Multiple ocular region segmentation plays an important role in different applications such as
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …
Eye-mms: Miniature multi-scale segmentation network of key eye-regions in embedded applications
Segmentation of the iris or sclera is an essential processing block in ocular biometric
systems. However, human-computer interaction, as in VR/AR applications, requires multiple …
systems. However, human-computer interaction, as in VR/AR applications, requires multiple …
Neural 3D gaze: 3D pupil localization and gaze tracking based on anatomical eye model and neural refraction correction
C Lu, P Chakravarthula, K Liu, X Liu… - … symposium on mixed …, 2022 - ieeexplore.ieee.org
Eye tracking has already made its way to current commercial wearable display devices, and
is becoming increasingly important for virtual and augmented reality applications. However …
is becoming increasingly important for virtual and augmented reality applications. However …
Automated extraction of clinical measures from videos of oculofacial disorders using machine learning: feasibility, validity and reliability
Objectives To determine the feasibility, validity and reliability of automatically extracting
clinically meaningful eyelid measurements from consumer-grade videos of individuals with …
clinically meaningful eyelid measurements from consumer-grade videos of individuals with …
Dataset for eye tracking on a virtual reality platform
We present a large scale data set of eye-images captured using a virtual-reality (VR) head
mounted display mounted with two synchronized eye-facing cameras at a frame rate of 200 …
mounted display mounted with two synchronized eye-facing cameras at a frame rate of 200 …
A robust framework for real-time iris landmarks detection using deep learning
Iris detection and tracking plays a vital role in human–computer interaction and has become
an emerging field for researchers in the last two decades. Typical applications such as …
an emerging field for researchers in the last two decades. Typical applications such as …
The dog eye guardian app: from image to diagnosis with AI insights
M Buric, B Kovacic, M Ivasic-Kos - 2024 9th International …, 2024 - ieeexplore.ieee.org
This research aims to present a specialized U-Net model that we designed for the
segmentation of eye diseases in dogs so that it can be used in the preliminary assessment …
segmentation of eye diseases in dogs so that it can be used in the preliminary assessment …