TY - GEN
T1 - Kinship verification using color features and extreme learning machine
AU - Wu, Xiaoting
AU - Feng, Xiaoyi
AU - Boutellaa, Elhocine
AU - Hadid, Abdenour
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
KW - Color features
KW - Extreme learning machine
KW - Kinship verification
UR - http://www.scopus.com/inward/record.url?scp=85061810549&partnerID=8YFLogxK
U2 - 10.1109/SIPROCESS.2018.8600423
DO - 10.1109/SIPROCESS.2018.8600423
M3 - 会议稿件
AN - SCOPUS:85061810549
T3 - 2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
SP - 187
EP - 191
BT - 2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
Y2 - 13 July 2018 through 15 July 2018
ER -