Face Recognition Assisted With 3D Face Model
Chengzhang Wang, Baocai Yin, Xiaoming Bai, Yanfeng Sun · 2008
This paper presents a 3D active deformable model assisted face recognition method across variations in pose and illumination. An active deformable model is built based on the prototypical 3D faces aligned by the uniform mesh resampling combined with mesh simplification based 3D face alignment algorithm. The active deformable model is first employed to reconstruct 3D face from the input 2D face image, and also exploited to estimate the rotation angles of the head according to the image. The rotation angles are used as the assisted information to tackle the variation in pose. An illumination regulating approach based on the distribution of the monocular grayscale intensity of the images is presented to tackle the variation in illumination during the face recognition. Experimental results on the CMU-PIE database show the good performance of the recognition system.