Method of Rapid 3D Face Recognition Based on Sparse Representation
Yang Fu-men · Journal of Anhui Normal University · 2014
With the development of computer technology,3Dimaging techniques and 3Dface recognition becomes the new trend for face recognition and authentication because it is not easily affected by illumination and dressing change.But for expression and posture change its recognition rate still remains to be improved and a longer time is used.This paper,on the basis of the principle of sparse representation,extracts important features of nasal tip point and uses the nearest neighbor classifier to classify recognition.The experimental results show that it has high robustness and recognition effect of expression change and a little time is used.It is superior to the traditional method of 3Dface recognition.