The Hong Kong Polytechnic University Disguise and Makeup Faces Database
The accuracy of automated human face recognition algorithms can significantly degrade while recognizing same subjects under make-up and disguised appearances. Increasing constraints on enhanced security and surveillance requires enhanced accuracy from face recognition algorithms for faces under disguise and/or makeup.
Brief Description
This
database consists of 2460 different face images from 410 different subjects.
These images have been acquired under real environment which primarily focuses on make-up
and
disguises covariates. This database also provides ground truth (eyeglass, goggle, mustache,
and beard) to evaluate capability of advanced algorithms in automatically
oredicting them for advanced surveillance capabilities. The origin or the source of these images
is detailed in a seperate text file which is available along with ground truth
and detected/segmented face images.
The
people in the database are acquired from the publicly accessible websites.
Majority of them are
celebrities from the movie, music, sports and also politics. Celebrities from
the Europe and US are the majority, along with some from Asia, Africa, Pacific
and Middle East.
Each
person in the database has six images, the first image is selected to represent clean
impression, i.e., without any makeup and disguises, and is from the frontal
pose. The rest of the five face images are faces with
different levels of makeup or disguise creating accessories. The naming
convention of the subjects in the database
is detailed in the enclosed readme.txt file and all the images are in JPG format.
Sample Images
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*Ground Truth included: Gender, Ethnicity, Skin Color, Hat, Hair Style, Glasses and Beard
Download and Copyright
The database is being made available for the researchers from 2016 onwards. Interested researchers can download this database in this link. Any commercial use/distribution of this database is prohibited. All the technical reports and papers that report experimental results from this database should provide due acknowledgement and reference to [1].
References
[1] Tsung Ying Wang and Ajay Kumar, "Recognizing Human Faces under Disguise and Makeup” Proc. ISBA 2016, pp. 1-7, Sendai, Japan, March Dec. 2016.
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