| publication name | 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 | https://dx.doi.org/10.21608/bjas.2020.226893 |
| Full paper | download |
| 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.