A genetics-motivated unsupervised model for tri-subject kinship verification

Given a child's and a couple's facial photos, tri-subject kinship verification aims to determine the existence of blood relation between the child and the couple. Different from existing methods which model the kinship inheritance process among three persons in separate stages and only use...

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Bibliographic Details
Published inProceedings - International Conference on Image Processing pp. 2916 - 2920
Main Authors Junkang Zhang, Siyu Xia, Hong Pan, Qin, A. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Computational modeling
Face
Feature extraction
Genetics
Hafnium
Histograms
kinship verification
linear combination
tri-subject
unsupervised model
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ISSN2381-8549
DOI10.1109/ICIP.2016.7532893

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Summary:Given a child's and a couple's facial photos, tri-subject kinship verification aims to determine the existence of blood relation between the child and the couple. Different from existing methods which model the kinship inheritance process among three persons in separate stages and only use simple features, this work establishes a simple model inspired by genetics to measure tri-subject kinship similarity in one step. Meanwhile, high-dimensional features are incorporated into this simple model to seek for better performance. Experiment results demonstrate the effectiveness of our approach.
ISSN:2381-8549
DOI:10.1109/ICIP.2016.7532893