人脸特征点提取方法综述  

Overview of Facial Feature Point Extraction Methods

作　　者：赵晓刚 阮家帅 ZHAO Xiaogang;RUAN Jiashuai(School of Information Engineering,Zhengzhou University of Industrial Technology,Zhengzhou 451100,China)

机构地区：[1]郑州工业应用技术学院信息工程学院,河南郑州451100

出　　处：《现代信息科技》2023年第21期85-89,共5页Modern Information Technology

摘　　要：人脸特征点的检测和提取一直是计算机视觉领域研究的前沿课题和方向,同时在人机交互、身份识别、视频会议、汽车安全驾驶等领域有着广阔的应用前景。检测和提取方法的有效性主要取决于人脸姿态、表情、面部横纹特征,以及外部遮挡、光照条件等因素。国内外研究者一直致力于提升人脸特征点检测和提取方法的高效性和鲁棒性,各种方法层出不穷。文章从人脸特征点构成和布局入手,对国内外在该领域的研究工作进行归纳、分析和比较,并对较为突出的缺陷进行总结,最后对人脸特征点检测和提取的发展方向进行展望。The detection and extraction of facial feature points has always been a cutting-edge topic and direction in the field of computer vision research,and has broad application prospects in fields such as human-computer interaction,identity recognition,video conferencing,and safe driving in automobiles.The effectiveness of detection and extraction methods mainly depends on factors such as facial posture,facial expressions,facial horizontal features,as well as external occlusion and lighting conditions.Domestic and foreign researchers have been committed to improving the efficiency and robustness of facial feature point detection and extraction methods,and various methods have emerged one after another.This paper starts with the composition and layout of facial feature points,summarizes,analyzes,and compares research work in this field at home and abroad,summarizes the prominent defects,and finally looks forward to the development direction of facial feature point detection and extraction.

关 键 词：特征点 计算机视觉 光照补偿 人工智能 深度学习 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]