Neighborhood repulsed metric learning for kinship verification
Kinship verification from facial images is a challenging problem in computer vision, and there is a very few attempts on tackling this problem in the literature. In this paper, we propose a new neighborhood repulsed metric learning (NRML) method for kinship verification. Motivated by the fact that i...
Main Authors: | , , , , , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/98388 http://hdl.handle.net/10220/12489 |