Kinship verification using color features and extreme learning machine

Xiaoting Wu, Xiaoyi Feng, Elhocine Boutellaa, Abdenour Hadid

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)

摘要

Kinship verification from faces is a challenging task that is attracting an increasing attention in the recent years. The proposed methods so far are not robust enough to predict the kin between persons via facial appearance only. The initial studies using deep convolutional neural networks (CNN) have not shown their full potential as well, mainly due to limited training data. To mitigate this problem, we propose a new approach to kinship verification based on color features and extreme learning machines (ELM). While ELM aims to deal with small size training sets, color features are proven to provide significant enhancement over gray-scale counterparts. We evaluate our proposed method on three benchmark and publicly available kinship databases, namely KinFaceW-I, KinFaceW-II and TSKinFace. The obtained results compares favorably against some state-of-the-art methods including those based on deep learning.

源语言英语
主期刊名2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
出版商Institute of Electrical and Electronics Engineers Inc.
187-191
页数5
ISBN(电子版)9781538663943
DOI
出版状态已出版 - 2 7月 2018
活动2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018 - Shenzhen, 中国
期限: 13 7月 201815 7月 2018

出版系列

姓名2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018

会议

会议2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
国家/地区中国
Shenzhen
时期13/07/1815/07/18

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