Title :
A study of singular value decomposition of face image matrix
Author :
Junying Gan ; Zhang, Youwei
Author_Institution :
Sch. of Inf., Wuyi Univ., Guangdong, China
Abstract :
In this paper, singular value decomposition (SVD) and its stability, proportion invariance, and rotation invariance of image matrix are discussed in detail. Optimal approximation of the rank reduction matrix is studied. As for the Olivetti Research Laboratory (ORL) face database, experimental results demonstrate that it is effective and feasible that singular values of the face image matrix are used as recognition features in face recognition, and that singular value features take on separability, stability and independence, and are valid in feature extraction of face image.
Keywords :
face recognition; feature extraction; singular value decomposition; stability; Olivetti Research Laboratory face database; face image matrix; face recognition; feature extraction; proportion invariance; rank reduction matrix; rotation invariance; singular value decomposition; stability; Face recognition; Feature extraction; Image databases; Image recognition; Interference; Laboratories; Matrix decomposition; Singular value decomposition; Spatial databases; Stability;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279245
