Papers Pupil Detection
“Pupil Detection” 태그가 달린 논문 18편 · 필터 해제
AmbientEye: A Dataset for Pupil Segmentation under Natural Ambient Infrared Illumination
Eye tracking is essential for smart glasses, as it provides insight into user attention for ambient intelligence applications. However, most existing eye-tracking systems rely on active infrared (IR) illumination, creati…
Pupil DetectionNeuromorphic Eye Tracking for Low-Latency Pupil Detection
Eye tracking for wearable systems demands low latency and milliwatt-level power, but conventional frame-based pipelines struggle with motion blur, high compute cost, and limited temporal resolution. Such capabilities are…
Pupil DetectionHAGI++: Head-Assisted Gaze Imputation and Generation
Mobile eye tracking plays a vital role in capturing human visual attention across both real-world and extended reality (XR) environments, making it an essential tool for applications ranging from behavioural research to …
Pupil DetectionContinuous Pupillography: A Case for Visual Health Ecosystem
This article aims to cover pupillography, and its potential use in a number of ophthalmological diagnostic applications in biomedical space. With the ever-increasing incorporation of technology within our daily lives and…
DiagnosticPupil DetectionRetina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
This paper introduces a neuromorphic methodology for eye tracking, harnessing pure event data captured by a Dynamic Vision Sensor (DVS) camera. The framework integrates a directly trained Spiking Neuron Network (SNN) reg…
Pupil DetectionPupil TrackingEye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Latest developments in computer hardware, sensor technologies, and artificial intelligence can make virtual reality (VR) and virtual spaces an important part of human everyday life. Eye tracking offers not only a hands-f…
Gaze EstimationPupil DetectionSurveyAn Embedded and Real-Time Pupil Detection Pipeline
Wearable pupil detection systems often separate the analysis of the captured wearer's eye images for wirelessly-tethered back-end systems. We argue in this paper that investigating hardware-software co-designs would brin…
Pupil Detection1000 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 for energy saving pupil detection in …
Pupil DetectionPrivacy-Preserving Eye Videos using Rubber Sheet Model
Video-based eye trackers estimate gaze based on eye images/videos. As security and privacy concerns loom over technological advancements, tackling such challenges is crucial. We present a new approach to handle privacy i…
modelPrivacy PreservingPupil DetectionPupil Lovalization And Tracking For Video-Based Iris Biometrics
In this paper, we are interested in iris biometric applications. More precisely, our contribution consists in designing both a pupil detection and a tracking procedure from video sequences acquired by low-cost webcams. T…
Pupil DetectionRobust classificationHead Mounted Pupil Tracking Using Convolutional Neural Network
Pupil tracking is an important branch of object tracking which require high precision. We investigate head mounted pupil tracking which is often more convenient and precise than remote pupil tracking, but also more chall…
Object TrackingPupil DetectionPupil TrackingPuRe: 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 -- e.g., gaze-based human computer interaction, health monitoring, foveated rendering, an…
Pupil DetectionSpecificityPupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in realworld scenarios has proven to be an intricate challenge due t…
CPUPupil DetectionRobust Video-Based Eye Tracking Using Recursive Estimation of Pupil Characteristics
Video-based eye tracking is a valuable technique in various research fields. Numerous open-source eye tracking algorithms have been developed in recent years, primarily designed for general application with many differen…
Image SegmentationPupil DetectionSemantic SegmentationPupilNet: Convolutional Neural Networks for Robust Pupil Detection
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in real-world scenarios has proven to be an intricate challenge due …
PositionPupil DetectionElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments
Fast and robust pupil detection is an essential prerequisite for video-based eye-tracking in real-world settings. Several algorithms for image-based pupil detection have been proposed, their applicability is mostly limit…
Pupil DetectionLabeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The videos in our dataset were recorded fro…
Pupil DetectionPupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction
Commercial head-mounted eye trackers provide useful features to customers in industry and research but are expensive and rely on closed source hardware and software. This limits the application areas and use of mobile ey…
Gaze EstimationPupil Detection