Face Recognition Based on Dynamic Principal Component Subspace
基于动态主成分子空间的人脸识别算法

The significance of principal component was determined by the corresponding eigenvalue in face recognition based on subspace analysis,then a static feature subspace was established.However,it could result in an inaccurate performance by analyzing the process of face reconstruction.A dynamic feature subspace algorithm was proposed according to multiple linear regression analysis.Furthermore,a dynamic principal component analysis(DPCA)and a Gabor feature based dynamic principal component analysis(GDPCA)were b...