人脸亲子关系验证研究综述

Xiao Ting Wu, Xiao Yi Feng, An Huang, Xue Yi Zhang, Jing Dong, Li Liu

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Facial kinship verification aims to verify whether two facial images have kin relations or not. It is an important research topic in computer vision and machine learning domain. Kinship verification has a wide range of applications in fields of missing children finding, social media analysis and image automatic labelling. It receives more and more attention and has been developed in many directions. In this paper, we do a survey on the kinship verification. First, we briefly introduce the kinship verification’s state of research within last ten years. Then we define the problem and discuss the challenges. Then, we summarize and compare the attributes of public kinship databases. Kinship verification algorithms are categorized and reviewed as well. We also analysis different kinship verification methods and compare their performance. Finally, we discuss the future possible research directions of kinship verification.

投稿的翻译标题Survey on Facial Kinship Verification
源语言繁体中文
页(从-至)2886-2910
页数25
期刊Zidonghua Xuebao/Acta Automatica Sinica
48
12
DOI
出版状态已出版 - 12月 2022

关键词

  • deep learning
  • face analysis
  • Facial kinship verification
  • kinship databases
  • similarity computation

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