摘要
随着计算机视觉等技术的快速发展,人机交互、医疗辅助、安防监控等领域迅速崛起,人脸关键点检测作为其中一项重要任务备受关注,它可以在图像或视频中定位和检测人脸关键点,具有很高的实用价值。通过对人脸关键点检测方法研究现状的梳理和分析,将其分为传统的人脸关键点检测方法和基于深度学习的人脸关键点检测方法;对比分析了各类方法的原理及优缺点,介绍常用数据集和评价指标,全面评估了重点方法在不同数据集上的性能表现;归纳人脸关键点检测应用领域,展望其未来发展方向。
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.
作者
张晓行
田启川
廉露
谭润
ZHANG Xiaohang;TIAN Qichuan;LIAN Lu;TAN Run(College of Electrical and Information Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China)
出处
《计算机工程与应用》
CSCD
北大核心
2024年第12期48-60,共13页
Computer Engineering and Applications
基金
北京建筑大学研究生教育教学质量提升项目(J2022012)
北京建筑大学教育教学研究项目(Y2130)
北京建筑大学混合式课程建设项目(YC23019)。
关键词
人脸关键点检测
深度学习
传统人脸关键点检测
facial landmark detection
deep learning
traditional facial landmark detection
