Prominent facial feature and hybrid learning method-based advanced face detector robust to head-up, head-down, and arbitrary rotation cases-Reference-Cited by-同舟云学术

Prominent facial feature and hybrid learning method-based advanced face detector robust to head-up, head-down, and arbitrary rotation cases

Published:2020-07-09 Issue:1 Volume:15 Page:147-154
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Chen Chien-Yu,Ding Jian-Jiun^ORCID,Hsu Hsuan-Wei

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-020-01729-w.pdf

Reference38 articles.

1. Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)

2. Viola, P., Jones, M.J.: Rapid object detection using a boosted cascade of simple features. In: IEEE Conference Computer Vision and Pattern Recognition, pp. 511–518 (2001)

3. Yong, Y., Ding, X.: Real-time multi-view face detection and pose estimation based on cost-sensitive Adaboost. Tsing Hua Science and Technology 10(2), 152–157 (2005)

4. Huang, C., Ai, H., Wu, B., Lao, S.: Boosting nested cascade detector for multi-view face detection. In: International Conference Pattern Recognition, pp. 415–418 (2004)

5. Kang, S., Choi, B., Jo, D.: Faces detection method based on skin color modeling. J. Syst. Architect. 64, 100–109 (2016)

Cited by 1 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. Face Recognition Based Attendance Management System Using Deep Learning Method;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22