3D Face Regulation Based on Surface Deformation
Yun Ge, Baicai Yin, Yanfeng Sun, Hengliang Tang · 2012
3D face database is an important data platform for model training, algorithm design. Especially for these researches based on statistical learning method, the algorithm performance has a great dependency on training sample set. Subject to the constraint of data acquisition equipment the data structure of current 3D face samples are different. It is incontinent to use these samples without regulation. To solve this problem, this paper presents an regulating method for existing 3D databases based on surface deformation. The experiment results show that the proposed method has good performance on face regulation.