Face Illumination Modeling Method Based on the Face Image Multimode Decomposition of Riemannian Tensor
Hao Guang-tao · 2009
The present face illumination modeling methods always suppose that the faces meet convex Lambertian and the surface normals and albedos must be known.However,these restrictions are different from the facts and the constructed illumination model also has bigger difference.In order to solve the problem,a novel method of face illumination modeling is proposed.Firstly,the multi-mode decomposition of Riemannian tensor is adopted and the face illumination is modeled.Then,the illumination model is optimized based on the improved generalized Lagrange algorithm.Theoretical analysis and experimental results both show that our method has higher precision and better practicability compared with photometric stereo harmonic image method.