Computer-Suggested Facial Makeup

Finding the best makeup for a given human face is an art in its own right. Experienced makeup artists train for years to be skilled enough to propose a best-fit makeup for an individual. In this work we propose a system that automates this task. We acquired the appearance of 56 human faces, both without and with professional makeup. To this end, we use a controlled-light setup, which allows to capture detailed facial appearance information, such as diffuse reflectance, normals, subsurface-scattering, specularity, or glossiness. A 3D morphable face model is used to obtain 3D positional information and to register all faces into a common parameterization. We then define makeup to be the change of facial appearance and use the acquired database to find a mapping from the space of human facial appearance to makeup. Our main application is to use this mapping to suggest the best-fit makeup for novel faces that are not in the database. Further applications are makeup transfer, automati...

• Type: Journal
• Year: 2011
• Where: CGF
• Authors: Kristina Scherbaum, Tobias Ritschel, Matthias B. Hullin, Thorsten Thormählen, Volker Blanz, Hans-Peter Seidel
• Keywords: CGF 2011, Computational Geometry, Computer Graphics Applications, Makeup Training, Three Dimensional Graphics