You are in:Home/Publications/A Novel Landmarked Face Database for Arab Celebrities

Ass. Lect. Reda Mohamed Mohamed Ghanem :: Publications:

Title:
A Novel Landmarked Face Database for Arab Celebrities
Authors: Reda Ghanem; Mohamed Loey
Year: 2020
Keywords: Face Database, Face Recognition, Deep Learning, Computer Vision, Face Inpainting.
Journal: Benha Journal of Applied Sciences
Volume: 5
Issue: 7
Pages: 161-166
Publisher: Benha University
Local/International: Local
Paper Link:
Full paper Reda Mohamed Mohamed Ghanem_Abstract-A Novel Landmarked Face Database for Arab Celebrities.pdf
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.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus