1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9607382/9607383/09607635.pdf?arnumber=9607635
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Zero Shot Learning in Pupil Detection;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04
2. CSA-CNN: A Contrastive Self-Attention Neural Network for Pupil Segmentation in Eye Gaze Tracking;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04
3. Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality;Proceedings of the ACM on Computer Graphics and Interactive Techniques;2024-05-17
4. Improving Eye-Tracking Data Quality: A Framework for Reproducible Evaluation of Detection Algorithms;Sensors;2024-04-24
5. Pistol: Pupil Invisible Supportive Tool in the Wild;SN Computer Science;2024-02-21
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