A Cross-age Kinship Verification Scheme Using Face Age Transfer Model

Hyeonwoo Kim, Hyungjoon Kim, Bumyeon Ko, Eenjun Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As the amount of face images collected from diverse devices such as smartphones, CCTVs and high-definition cameras is rapidly increasing, various face-based applications such as finding missing family members, social media analysis and genealogical research have attracted much attention. To effectively implement such applications, a technique called kinship verification can be used. Kinship verification determines the genetic relationship between people through facial image analysis. Recently, as convolutional neural network (CNN) shows good performance in image processing, many CCN-based kinship verification methods have been proposed. However, they suffered from problems such as insufficient labeled data to train deep learning models, and poor validation accuracy when the age difference between people was large. To alleviate these problems, in this paper, we propose a cross-age kinship verification scheme using a face age transfer model. To prove the effectiveness of the proposed scheme, we conducted several comparative experiments with other models, and we confirmed that the verification accuracy and f1 score of our proposed method improved.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022
EditorsHerwig Unger, Young-Kuk Kim, Eenjun Hwang, Sung-Bae Cho, Stephan Pareigis, Kyamakya Kyandoghere, Young-Guk Ha, Jinho Kim, Atsuyuki Morishima, Christian Wagner, Hyuk-Yoon Kwon, Yang-Sae Moon, Carson Leung
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages206-210
Number of pages5
ISBN (Electronic)9781665421973
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022 - Daegu, Korea, Republic of
Duration: 2022 Jan 172022 Jan 20

Publication series

NameProceedings - 2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022

Conference

Conference2022 IEEE International Conference on Big Data and Smart Computing, BigComp 2022
Country/TerritoryKorea, Republic of
CityDaegu
Period22/1/1722/1/20

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was partly supported by NRF (National Research Foundation of Korea) (No. NRF-2020R1F1A1074885) and NRF (No. NRF-2021R1A4A1031864) grant funded by the Korean Government.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Convolutional neural network
  • Face age transfer
  • Facial image analysis
  • Generative adversarial network
  • Image processing
  • Kinship verification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Health Informatics

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