On the usefulness of color for kinship verification from face images |
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Author: | Wu, Xiaoting1; Boutellaa, Elhocine2; Bordallo López, Miguel3; |
Organizations: |
1Northwestern Polytechnical University, School of Electronics and Information, Xi’an, China 2Division Architecture des Systemes et Multimedia, Centre de Developpement des Technologies Avancees CDTA, Algeria 3Center for Machine Vision and Signal Analysis, University of Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019090526775 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2016
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Publish Date: | 2019-09-05 |
Description: |
AbstractAutomatic kinship verification from faces aims to determine whether two persons have a biological kin relation or not by comparing their facial attributes. This is a challenging research problem that has recently received lots of attention from the research community. However, most of the proposed methods have mainly focused on analyzing only the luminance (i.e. gray-scale) of the face images, hence discarding the chrominance (i.e. color) information which can be a useful additional cue for verifying kin relationships. This paper investigates for the first time the usefulness of color information in the verification of kinship relationships from facial images. For this purpose, we extract joint color-texture features to encode both the luminance and the chrominance information in the color images. The kinship verification performance using joint color-texture analysis is then compared against counterpart approaches using only gray-scale information. Extensive experiments using different color spaces and texture features are conducted on two benchmark databases. Our results indicate that classifying color images consistently shows superior performance in three different color spaces. see all
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ISBN: | 978-1-5090-1138-4 |
ISBN Print: | 978-1-5090-1139-1 |
Pages: | 1 - 6 |
DOI: | 10.1109/WIFS.2016.7823901 |
OADOI: | https://oadoi.org/10.1109/WIFS.2016.7823901 |
Host publication: |
IEEE International Workshop on Information Forensics and Security |
Conference: |
2016 IEEE International Workshop on Information Forensics and Security (WIFS) |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences 213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Copyright information: |
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