Face Relighting under Arbitrary Unknown Illumination Conditions based on Estimated Light Source Direction

H. Han and K. Sohn (Korea)

Keywords

Face relighting, light source estimation, biometrics, and face recognition

Abstract

In this paper, we present a novel method to estimate the light source direction and relight a face texture image of a single 3D model obtained under arbitrary unknown illumination conditions. We create a virtual irradiance sphere to detect the light source direction from a given illuminated texture image using both normal vector mapping and weighted bilinear interpolation. We then create a relighting equation with estimated ambient intensity and diffuse intensity obtained by the least square method. We provide a series of experiments on both light source estimation and relighting to show that our method is effective in restoring the shading and shadows areas of a face texture image. Our approach for face relighting should be used for illuminant invariant face recognition applications.

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