Virtual Makeup Dataset (VMU)
Available for download here.A face image dataset is assembled by synthetically adding makeup to subjects in the Face Recognition Grand Challenge (FRGC) dataset. The synthetic makeup is applied using a publicly available tool from Taaz. We use 51 white, female subjects from FRGC. The FRGC images undergo 3 virtual makeovers: (1) application of lipstick only, (2) application of eye makeup only, and (3) application of a full makeup suite consisting of lipstick, foundation, blush and eye makeup. The dataset consists of 4 images per subject: 1 before-makeup image and 3 after-makeup images.
Publications
A. Dantcheva, C. Chen, A. Ross, "Can Facial Cosmetics Affect the Matching Accuracy of Face Recognition Systems?," Proc. of 5th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), (Washington DC, USA), September 2012.