A Novel Landmarked Face Database for Arab Celebrities | ||
| Benha Journal of Applied Sciences | ||
| Article 27, Volume 5, Issue 7 part (1) - (2), October 2020, Pages 161-166 PDF (983.23 K) | ||
| Document Type: Original Research Papers | ||
| DOI: 10.21608/bjas.2020.226893 | ||
| Authors | ||
| R.M. Ghanem1; M.L. Ramadan2 | ||
| 1Mathematics Dept., Faculty of Science, Benha University, Benha, Egypt | ||
| 2Computer Science Dept., Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt | ||
| 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. | ||
| Keywords | ||
| Face Database; Face Recognition; Deep Learning; Computer Vision; Face Inpainting | ||
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