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 |
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源语言 | 繁体中文 |
页(从-至) | 2886-2910 |
页数 | 25 |
期刊 | Zidonghua Xuebao/Acta Automatica Sinica |
卷 | 48 |
期 | 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