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.
Ghanem, R., & Ramadan, M. (2020). A Novel Landmarked Face Database for Arab Celebrities. Benha Journal of Applied Sciences, 5(Issue 7 part (1) - (2)), 161-166. doi: 10.21608/bjas.2020.226893
MLA
R.M. Ghanem; M.L. Ramadan. "A Novel Landmarked Face Database for Arab Celebrities", Benha Journal of Applied Sciences, 5, Issue 7 part (1) - (2), 2020, 161-166. doi: 10.21608/bjas.2020.226893
HARVARD
Ghanem, R., Ramadan, M. (2020). 'A Novel Landmarked Face Database for Arab Celebrities', Benha Journal of Applied Sciences, 5(Issue 7 part (1) - (2)), pp. 161-166. doi: 10.21608/bjas.2020.226893
VANCOUVER
Ghanem, R., Ramadan, M. A Novel Landmarked Face Database for Arab Celebrities. Benha Journal of Applied Sciences, 2020; 5(Issue 7 part (1) - (2)): 161-166. doi: 10.21608/bjas.2020.226893