On the usefulness of color for kinship verification from face images

Xiaoting Wu, Elhocine Boutellaa, Miguel Bordallo Lopez, Xiaoyi Feng, Abdenour Hadid

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 Citations (Scopus)

Abstract

Automatic 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.

Original languageEnglish
Title of host publication8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
PublisherInstitute of Electrical and Electronic Engineers IEEE
Number of pages6
ISBN (Electronic)978-1-5090-1138-4
DOIs
Publication statusPublished - 18 Jan 2017
MoE publication typeA4 Article in a conference publication
Event8th IEEE International Workshop on Information Forensics and Security, WIFS 2016 - Abu Dhabi, United Arab Emirates
Duration: 4 Dec 20167 Dec 2016

Conference

Conference8th IEEE International Workshop on Information Forensics and Security, WIFS 2016
CountryUnited Arab Emirates
CityAbu Dhabi
Period4/12/167/12/16

Fingerprint

kinship
Color
Textures
performance
Luminance
human being
Kinship
Usefulness
experiment
community
Texture

Cite this

Wu, X., Boutellaa, E., Bordallo Lopez, M., Feng, X., & Hadid, A. (2017). On the usefulness of color for kinship verification from face images. In 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016 Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WIFS.2016.7823901
Wu, Xiaoting ; Boutellaa, Elhocine ; Bordallo Lopez, Miguel ; Feng, Xiaoyi ; Hadid, Abdenour. / On the usefulness of color for kinship verification from face images. 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016. Institute of Electrical and Electronic Engineers IEEE, 2017.
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Wu, X, Boutellaa, E, Bordallo Lopez, M, Feng, X & Hadid, A 2017, On the usefulness of color for kinship verification from face images. in 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016. Institute of Electrical and Electronic Engineers IEEE, 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016, Abu Dhabi, United Arab Emirates, 4/12/16. https://doi.org/10.1109/WIFS.2016.7823901

On the usefulness of color for kinship verification from face images. / Wu, Xiaoting; Boutellaa, Elhocine; Bordallo Lopez, Miguel; Feng, Xiaoyi; Hadid, Abdenour.

8th IEEE International Workshop on Information Forensics and Security, WIFS 2016. Institute of Electrical and Electronic Engineers IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Hadid, Abdenour

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N2 - Automatic 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.

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Wu X, Boutellaa E, Bordallo Lopez M, Feng X, Hadid A. On the usefulness of color for kinship verification from face images. In 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016. Institute of Electrical and Electronic Engineers IEEE. 2017 https://doi.org/10.1109/WIFS.2016.7823901