A Novel Landmarked Face Database for Arab Celebrities
Benha Journal of Applied Sciences • 2020
Publication Information
Authors
Reda Ghanem; Mohamed Loey
Keywords
Face Database, Face Recognition, Deep Learning, Computer Vision, Face Inpainting.
Journal
Benha Journal of Applied Sciences
Publisher
Benha University
Volume
5
Issue
7
Pages
161-166
publication.type
Local
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
In this paper, we present a novel database of colored and gray, plausible face images. The database contains almost 389 images of 79 Arab celebrities with automatically generated landmarks acquired from the web in wild-life. We apply face recognition (face detection) using Caffe-Model with open cv to extract faces from images then store them in 256 × 256 pixels images. The dataset is publicly available for research purposes and can be used as a training and testing material in developing various algorithms related to face detection, inpainting, frontalization, recognition, and analysis. It is challenging to inpaint face images in the wild-life, due to the large variation of appearances, such as expressions, gender, different poses, and ethnicity. This inspired us to establish a dataset that includes the faces of Arab celebrities to use it in future work.
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