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
  • [41] Visible-to-Thermal Transfer Learning for Facial Landmark Detection
    Poster, Domenick D.
    Hu, Shuowen
    Short, Nathan J.
    Riggan, Benjamin S.
    Nasrabadi, Nasser M.
    IEEE ACCESS, 2021, 9 : 52759 - 52772
  • [42] Facial imaging and landmark detection technique for objective assessment of unilateral peripheral facial paralysis
    Guo, Zhexiao
    Li, Weiben
    Dai, Juan
    Xiang, Jianghuai
    Dan, Guo
    ENTERPRISE INFORMATION SYSTEMS, 2022, 16 (10-11) : 1556 - 1572
  • [43] A review on cephalometric landmark detection techniques
    Juneja, Mamta
    Garg, Poojita
    Kaur, Ravinder
    Manocha, Palak
    Batra, Shivam
    Singh, Pradeep
    Sin, Shaswat
    Jindal, Prashant
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 66
  • [44] Real-time Efficient Facial Landmark Detection Algorithms
    Xiong, Hanying
    Lu, Tongwei
    Zhang, Hongzhi
    AIPR 2020: 2020 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION, 2020, : 191 - 195
  • [45] Facial landmark detection in real-time with correlation filtering
    Contreras, Viridiana
    Diaz-Ramirez, Victor H.
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIX, 2016, 9971
  • [46] Facial Landmark Detection With Learnable Connectivity Graph Convolutional Network
    Le Quan Nguyen
    Van Dung Pham
    Li, Yanfen
    Wang, Hanxiang
    Dang, L. Minh
    Song, Hyoung-Kyu
    Moon, Hyeonjoon
    IEEE ACCESS, 2022, 10 : 94354 - 94362
  • [47] Facial Landmark Detection by Deep Multi-task Learning
    Zhang, Zhanpeng
    Luo, Ping
    Loy, Chen Change
    Tang, Xiaoou
    COMPUTER VISION - ECCV 2014, PT VI, 2014, 8694 : 94 - 108
  • [48] Facial landmark detection and tracking with dynamically adaptive matched filters
    Contreras-Gonzalez, Viridiana
    Diaz-Ramirez, Victor H.
    Juarez-Salazar, Rigoberto
    JOURNAL OF ELECTRONIC IMAGING, 2020, 29 (03)
  • [49] Convolutional Experts Constrained Local Model for Facial Landmark Detection
    Zadeh, Amir
    Baltrusaitis, Tadas
    Morency, Louis-Philippe
    2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2017, : 2051 - 2059
  • [50] STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
    Zhou, Zhenglin
    Li, Huaxia
    Liu, Hong
    Wang, Nanyang
    Yu, Gang
    Ji, Rongrong
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 15475 - 15484