Accurate CNN-based pupil segmentation with an ellipse fit error regularization term-Reference-Cited by-同舟云学术

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Accurate CNN-based pupil segmentation with an ellipse fit error regularization term

Published:2022-02 Issue: Volume:188 Page:116004
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Akinlar Cuneyt^ORCID,Kucukkartal Hatice Kubra^ORCID,Topal Cihan^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

2. An euclidean ellipse comparison metric for quantitative evaluation;Cakir,2018

3. An occlusion-resistant ellipse detection method by joining coelliptic arcs;Cakir,2016

4. A computational approach to edge detection;Canny;IEEE Transactions on Pattern Analysis and Machine Intelligence,1986

5. Ritnet: Real-time semantic segmentation of the eye for gaze tracking;Chaudhary,2019

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1. Robust residual convolutional neural network based pupil tracking for low-computational power applications;Engineering Applications of Artificial Intelligence;2024-07

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. Improving Eye-Tracking Data Quality: A Framework for Reproducible Evaluation of Detection Algorithms;Sensors;2024-04-24

4. Eye detection and coarse localization of pupil for video-based eye tracking systems;Expert Systems with Applications;2024-02

5. Blink-To-Live eye-based communication system for users with speech impairments;Scientific Reports;2023-05-17

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