Pupil Detection
5 papers with code • 1 benchmarks • 1 datasets
INI-30
Most implemented papers
Pupil: 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.
Robust Video-Based Eye Tracking Using Recursive Estimation of Pupil Characteristics
Video-based eye tracking is a valuable technique in various research fields.
PuRe: Robust pupil detection for real-time pervasive eye tracking
state-of-the-art algorithms by 25. 05 and 10. 94 percentage points, respectively, demonstrating the meaningfulness of PuRe's confidence measure.
An Embedded and Real-Time Pupil Detection Pipeline
For evaluation on our hardware-specific camera frames, we also contribute a dataset of 35000 images, from 20 participants.
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
pbonazzi/retina
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This paper introduces a neuromorphic methodology for eye tracking, harnessing pure event data captured by a Dynamic Vision Sensor (DVS) camera.
