A Novel Illumination Estimation for Face Recognition under Complex Illumination Conditions
Yong Jun Cheng, Zuoyong Li, Yuanchen HAN · IEICE Transactions on Information and Systems · 2017
After exploring the classic Lambertian reflectance model, we proposed an effective illumination estimation model to extract illumination invariants for face recognition under complex illumination conditions in this paper. The estimated illumination by our method not only meets the actual lighting conditions of facial images, but also conforms to the imaging principle. Experimental results on the combined Yale B database show that the proposed method can extract more robust illumination invariants, which improves face recognition rate.