Gabor-Based Region Covariance Matrices for Face Recognition 论文
2008IEEE Transactions on Circuits and Systems for Video Technology引用 281
Face and Expression RecognitionImage Retrieval and Classification TechniquesRemote-Sensing Image Classification
摘要
This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.