Eye feature point detection based on single convolutional neural network-Reference-Cited by-同舟云学术

Eye feature point detection based on single convolutional neural network

Published:2018-02-05 Issue:4 Volume:12 Page:453-457
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Zhao Xuepeng¹^ORCID,Meng Chunning²,Feng Mingkui²,Chang Shengjiang¹,Zeng Qingkai³

Affiliation:

1. Institute of Modern OpticsNankai UniversityTianjiPeople's Republic of China

2. Department of Electronic TechnologyChina Maritime Police AcademyNingboPeople's Republic of China

3. ECE DepartmentUniversity of Illinois at Urbana‐ChampaignUrbanaUSA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0096

Reference22 articles.

1. Xu P. Ehinger K.A. Zhang Y. et al: ‘Turkergaze: crowdsourcing saliency with webcam based eye tracking’ arXiv: 1504.06755[cs.CV] accessed January 2018

2. Automatic facial expression recognition using features of salient facial patches

3. Active appearance models

4. Automatic feature localisation with constrained local models

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