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胡步发, 郝广涛(福州大学机械工程及自动化学院, 福州 350002)

摘 要
Face Illumination Modeling Method Based on the Face Image Multimode Decomposition of Riemannian Tensor

HU Bufa, HAO Guangtao(College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350002)

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.