Review of Research on Facial Landmark Detection

被引：0

作者：

Zhang, Xiaohang ^{[1
]}

Tian, Qichuan ^{[1
]}

Lian, Lu ^{[1
]}

Tan, Run ^{[1
]}

机构：

[1] College of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing,100044, China

来源：

Computer Engineering and Applications | 2024年 / 60卷 / 12期

关键词：

Deep learning - Face recognition - Medical imaging;

D O I：

10.3778/j.issn.1002-8331.2311-0387

中图分类号：

学科分类号：

摘要：

With the rapid development of computer vision and other technologies, the rapid rise of human-computer interaction, medical assistance, security monitoring and other fields, facial landmark detection as one of the important tasks of concern, it can locate and detect facial landmark in images or videos, with high practical value. By combing and analyzing the current research status of face key point detection methods, this paper divides them into traditional facial landmark detection methods and deep learning-based facial landmark detection methods.It compares and analyzes the principles, advantages and disadvantages of various methods, introduces common data sets and evaluation indicators, and comprehensively evaluates the performance of key methods on different data sets. The application field of facial landmark detection is summarized, and its future development direction is forecasted. © 2024 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.

引用

页码：48 / 60