Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition
Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …
challenges many existing iris segmentation methods. To address this problem, this paper …
Learning to find eye region landmarks for remote gaze estimation in unconstrained settings
Conventional feature-based and model-based gaze estimation methods have proven to
perform well in settings with controlled illumination and specialized cameras. In …
perform well in settings with controlled illumination and specialized cameras. In …
Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmentations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement …
We present TEyeD, the world's largest unified public data set of eye images taken with head-
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …
PuRe: Robust pupil detection for real-time pervasive eye tracking
Real-time, accurate, and robust pupil detection is an essential prerequisite to enable
pervasive eye-tracking and its applications–eg, gaze-based human computer interaction …
pervasive eye-tracking and its applications–eg, gaze-based human computer interaction …
Eye‐Tracking as a Tool to Evaluate Functional Ability in Everyday Tasks in Glaucoma
To date, few studies have investigated the eye movement patterns of individuals with
glaucoma while they undertake everyday tasks in real‐world settings. While some of these …
glaucoma while they undertake everyday tasks in real‐world settings. While some of these …
1000 pupil segmentations in a second using haar like features and statistical learning
In this paper we present a new approach for pupil segmentation. It can be computed and
trained very efficiently, making it ideal for online use for high speed eye trackers as well as …
trained very efficiently, making it ideal for online use for high speed eye trackers as well as …
The gaze and mouse signal as additional source for user fingerprints in browser applications
In this work, we inspect different data sources for browser fingerprints. We show which
disadvantages and limitations browser statistics have and how this can be avoided with …
disadvantages and limitations browser statistics have and how this can be avoided with …
A multimodal eye movement dataset and a multimodal eye movement segmentation analysis
We present a new dataset with annotated eye movements. The dataset consists of over
800,000 gaze points recorded during a car ride in the real world and in the simulator. In total …
800,000 gaze points recorded during a car ride in the real world and in the simulator. In total …
Groupgazer: A tool to compute the gaze per participant in groups with integrated calibration to map the gaze online to a screen or beamer projection
In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze
direction and the gaze position of whole groups. GroupGazer calculates the gaze direction …
direction and the gaze position of whole groups. GroupGazer calculates the gaze direction …
Tensor normalization and full distribution training
W Fuhl - arxiv preprint arxiv:2109.02345, 2021 - arxiv.org
In this work, we introduce pixel wise tensor normalization, which is inserted after rectifier
linear units and, together with batch normalization, provides a significant improvement in the …
linear units and, together with batch normalization, provides a significant improvement in the …