Specularity removal for enhancing face recognition
Rui Ishiyama, Masato Tsukada · 2009
This paper proposes a new method for removing specularity from face images so that albedo (diffuse reflectivity) can be accurately estimated. Our method utilizes common structural properties of face images to estimate the Lambertian component (including shadows) without using albedo, then specularity is separated as the positive component of the difference between the estimated Lambertian component and the source image. Experimental results show that face-recognition performance is significantly improved by applying our new algorithm. Numerous previous face-recognition methods use 3D shape and albedo of an enrolled image for face recognition under variable pose and illumination conditions. However albedo used by the previous methods contained a residual of specularity from the enrolled image, which produced matching errors. Our algorithm is effective for solving this problem.