Kinship verification from faces: Methods, databases and challenges

Xiaoting Wu, Elhocine Boutellaa, Xiaoyi Feng, Abdenour Hadid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Automatic kinship verification from face images aims at verifying whether two persons have a kin relation or not by only comparing their visual facial similarities. This is an emerging topic in face analysis and computer vision. Automatic kinship verification is useful in many applications such as finding missing children, image annotation, and social media analysis. In the recent years, there has been a lot of efforts in developing methods to cope with this challenging but important research problem. This paper introduces the topic, discusses the proposed methods, describes the available databases, highlights the open issues and challenges and points out directions for future research.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
StatePublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

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