238 search results - page 1 / 48 » Improvement on PCA and 2DPCA Algorithms for Face Recognition |
CIVR
2005
Springer
13 years 10 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In this paper a novel method called Extended TwoDimensional PCA (E2DPCA) is proposed which is an extension to the original 2DPCA. We state that the covariance matrix of 2DPCA is e...
PR
2006
13 years 4 months ago
2006
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks t...
MMM
2005
Springer
13 years 10 months ago
2005
Springer
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
PCM
2007
Springer
13 years 11 months ago
2007
Springer
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...