We investigate in this paper the problem of face verification in the presence of face makeups.
To our knowledge, this problem has less formally addressed in the literature. A key …

… It means we can find the discriminative area and ignore those confusing areas (heavy
makeup areas), thus our model successfully learns the makeup-robust facial representations. …

… and academic face verification … face verification problem via a learning from generation
framework. This framework simultaneously considers makeup removal and face verification, and …

The application of facial cosmetics may cause substantial alterations in the facial appearance,
which can degrade the performance of facial biometrics systems. Additionally, it was …

… Early studies primarily focused on face recognition and verification tasks under makeup …
Anti-Makeup: Learning A bi-level adversarial network for makeup-invariant face verification. In …

… verification system to accept or reject the claimed identity of a person with makeup in an image,
a makeup robust face verification … face images from makeup images for further verification…

… image, we propose the use of a face recognition network [12] to extract the face identity
feature fid from the source image x. By using a face recognition network, we can better capture …

… However, in contrast to the massive articles addressing face verification … of makeup robust
face verification. Some researches apply the traditional methods to perform face verification. …

… It remains a challenging problem to match makeup and non-makeup face images. This
paper proposes a learning from generation approach for makeup-invariant face verification by …

… of each facial part/third and of the holistic face. To extract deep features, we chose 13 CNN
models trained for face verification … Makeup-Robust Face Verification. In IEEE International …