High-Automatical and High-Accurate Pupil Location Neural Network via FRST FPL-Reference-Cited by-同舟云学术

High-Automatical and High-Accurate Pupil Location Neural Network via FRST FPL

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Machine Vision and Information Technology (CMVIT)
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Author:

Ma Hongwei¹,Shen Ran²,Ye Jing³,Su Huajun⁴,Xie Hantian⁵,Jiang Han⁶

Affiliation:

1. Zhejiang Huayun Electric Power Enterprise Service Co., Ltd,Chengbei Branch,Hangzhou,China

2. State Grid Zhejiang Electric Power Co., Ltd,Marketing Service Center,Hangzhou,China

3. State Grid Zhejiang Electric Power Co., Ltd,Kaihua Power Supply Company,Quzhou,China

4. State Grid Zhejiang Electric Power Co., Ltd,Qiantang Power Supply Company,Hangzhou,China

5. State Grid Zhejiang Electric Power Co., Ltd,Jinhua Power Supply Company,Jinhua,China

6. Zhejiang University,College of Computer Science and Technology,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10148088/10148567/10148601.pdf?arnumber=10148601

Reference31 articles.

1. A modified Hough scheme for general circle location

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3. Context-free attentional operators: The generalized symmetry transform

4. Research and implementation of pupil recognition based on Hough transform

5. A Threshold Selection Method from Gray-Level Histograms

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