51 search results - page 4 / 11 » Multilinear principal component analysis for face recognitio... |
PRL
2007
13 years 5 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
PRL
2002
13 years 5 months ago
2002
: Recently, a method called (PC)2 A was proposed to deal with face recognition with one training image per person. As an extension of the standard eigenface technique, (PC)2 A comb...
ICMCS
2006
IEEE
14 years 5 days ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
AMC
2005
13 years 6 months ago
2005
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we pres...
IWANN
2005
Springer
13 years 11 months ago
2005
Springer
Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this pape...