TY - GEN
T1 - Inheritable Fisher vector feature for kinship verification
AU - Liu, Qingfeng
AU - Puthenputhussery, Ajit
AU - Liu, Chengjun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/16
Y1 - 2015/12/16
N2 - An innovative inheritable Fisher vector feature (IFVF) method is presented in this paper for kinship verification. Specifically, Fisher vector is first derived for each image by aggregating the densely sampled SIFT features in the opponent color space. Second, a new inheritable transformation, which maximizes the similarity between kinship images while minimizes that between non-kinship images for each image pair simultaneously, is learned based on the Fisher vectors. As a result, the IFVF is derived by applying the inheritable transformation on the Fisher vector for each image. Finally, a novel fractional power cosine similarity measure, which shows its theoretical roots in the Bayes decision rule for minimum error, is proposed for kinship verification. Experimental results on two representative kinship data sets, namely the KinFaceW-I and the KinFaceW-II data sets, show the feasibility of the proposed method.
AB - An innovative inheritable Fisher vector feature (IFVF) method is presented in this paper for kinship verification. Specifically, Fisher vector is first derived for each image by aggregating the densely sampled SIFT features in the opponent color space. Second, a new inheritable transformation, which maximizes the similarity between kinship images while minimizes that between non-kinship images for each image pair simultaneously, is learned based on the Fisher vectors. As a result, the IFVF is derived by applying the inheritable transformation on the Fisher vector for each image. Finally, a novel fractional power cosine similarity measure, which shows its theoretical roots in the Bayes decision rule for minimum error, is proposed for kinship verification. Experimental results on two representative kinship data sets, namely the KinFaceW-I and the KinFaceW-II data sets, show the feasibility of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84962920847&partnerID=8YFLogxK
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U2 - 10.1109/BTAS.2015.7358768
DO - 10.1109/BTAS.2015.7358768
M3 - Conference contribution
AN - SCOPUS:84962920847
T3 - 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
BT - 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
Y2 - 8 September 2015 through 11 September 2015
ER -