Our task of pupil detection uses similar HoG features but our system is based on regression methods that measures the distance to pupil center for each ...

Nov 3, 2015 · The system trains a regressor using HoG features with the distance between the ground-truth pupil center and the center of the train patches. We ...

The system trains a regressor using HoG features with the distance between the ground-truth pupil center and the center of the train patches. We found HoG ...

To detect the pupil center, we first find four eye landmarks in each eye by using cascade local regression based on a regression forest. Based on the rough ...

The study presents a comprehensive comparative analysis, assessing the performance of the proposed method against established eye tracking solutions. This ...

We propose using CNN-based regression to simultaneously predict pupil center coordinates and three-dimensional optical axis in real-time from a close-up eye ...

Jan 4, 2024 · In this work, we propose a novel representation-learning based eye tracking framework that works real-time and requires only limited number of calibration ...

Jul 31, 2022 · A supervised regression-based pupil center estimation approach was additionally proposed to estimate pupil centers in eyes covered by sunglasses ...

Our solution is based on a 3-D appearance-based method that processes the images from a built-in laptop camera. Real-time performance is obtained by combining ...

Mar 18, 2024 · Landmark detection is widely used in head pose estimation, eyelid shape extraction, as well as pupil and iris segmentation. There are numerous ...