Papers Pupil Tracking
“Pupil Tracking” 태그가 달린 논문 11편 · 필터 해제
Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardware
Eye tracking is fundamental to numerous applications, yet achieving robust, high-frequency tracking with ultra-low power consumption remains challenging for wearable platforms. While event-based vision sensors offer micr…
Event-based visionPupil TrackingEyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing
Eye-tracking technology has gained significant attention in recent years due to its wide range of applications in human-computer interaction, virtual and augmented reality, and wearable health. Traditional RGB camera-bas…
DescriptivePupil TrackingMODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations
Direct imaging of exoplanets is particularly challenging due to the high contrast between the planet and the star luminosities, and their small angular separation. In addition to tailored instrumental facilities implemen…
DiversityPupil TrackingSensitivityA Framework for Pupil Tracking with Event Cameras
Saccades are extremely rapid movements of both eyes that occur simultaneously, typically observed when an individual shifts their focus from one object to another. These movements are among the swiftest produced by human…
Event-based visionobject-detectionObject DetectionPupil TrackingUsing Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality
Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting ga…
Pupil TrackingRetina : 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 Tracking3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
This paper presents a sparse Change-Based Convolutional Long Short-Term Memory (CB-ConvLSTM) model for event-based eye tracking, key for next-generation wearable healthcare technology such as AR/VR headsets. We leverage …
Pupil TrackingHalf-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework
High-contrast imaging of exoplanets hinges on powerful post-processing methods to denoise the data and separate the signal of a companion from its host star, which is typically orders of magnitude brighter. Existing post…
DenoisingPupil TrackingTime Series AnalysisReal-time Pupil Tracking from Monocular Video for Digital Puppetry
We present a simple, real-time approach for pupil tracking from live video on mobile devices. Our method extends a state-of-the-art face mesh detector with two new components: a tiny neural network that predicts position…
Pupil TrackingLocating Objects Without Bounding Boxes
Recent advances in convolutional neural networks (CNN) have achieved remarkable results in locating objects in images. In these networks, the training procedure usually requires providing bounding boxes or the maximum nu…
ObjectObject LocalizationPupil TrackingHead 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 Tracking