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
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
收藏
页码:48 / 60
相关论文
共 50 条
  • [21] Style Aggregated Network for Facial Landmark Detection
    Dong, Xuanyi
    Yan, Yan
    Ouyang, Wanli
    Yang, Yi
    2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 379 - 388
  • [22] Facial Landmark Detection Under Large Pose
    Hao, Yangyang
    Zhu, Hengliang
    Shao, Zhiwen
    Tan, Xin
    Ma, Lizhuang
    NEURAL INFORMATION PROCESSING (ICONIP 2018), PT IV, 2018, 11304 : 684 - 696
  • [23] EFFICIENT FACIAL LANDMARK DETECTION FOR EMBEDDED SYSTEMS
    Wu, Ji-Jia
    2024 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS, ICMEW 2024, 2024,
  • [24] Benchmarking Shadow Removal for Facial Landmark Detection
    Fu, Lan
    Guo, Qing
    Juefei-Xu, Felix
    Yu, Hongkai
    Liu, Yang
    Feng, Wei
    Wang, Song
    2024 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI 2024, 2024, : 265 - 271
  • [25] POSE INVARIANT FACIAL COMPONENT-LANDMARK DETECTION
    Efraty, B.
    Papadakis, M.
    Profitt, A.
    Shah, S.
    Kakadiaris, I. A.
    2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2011, : 569 - 572
  • [26] LIGHTWEIGHT FACIAL LANDMARK DETECTION WITH WEAKLY SUPERVISED LEARNING
    Lai, Shenqi
    Liu, Lei
    Chai, Zhenhua
    Wei, Xiaolin
    2021 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW), 2021,
  • [27] Soft Facial Landmark Detection by Label Distribution Learning
    Su, Kai
    Geng, Xin
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 5008 - 5015
  • [28] TransMarker: A Pure Vision Transformer for Facial Landmark Detection
    Wu, Wenyan
    Cai, Yici
    Zhou, Qiang
    2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 3580 - 3587
  • [29] Precise Facial Landmark Detection by Reference Heatmap Transformer
    Wan, Jun
    Liu, Jun
    Zhou, Jie
    Lai, Zhihui
    Shen, Linlin
    Sun, Hang
    Xiong, Ping
    Min, Wenwen
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 32 : 1966 - 1977
  • [30] Facial landmark detection using artificial intelligence techniques
    Zhongshan, Chen
    Xinning, Feng
    Manickam, Adhiyaman
    Sathishkumar, V. E.
    ANNALS OF OPERATIONS RESEARCH, 2023, 326 (SUPPL 1) : 63 - 63