65 search results - page 1 / 13 » On solving the face recognition problem with one training sa... |
PR
2006
13 years 4 months ago
2006
The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key te...
ICMCS
2006
IEEE
13 years 10 months 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 ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
FGR
2011
IEEE
12 years 8 months ago
2011
IEEE
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
PR
2006
13 years 4 months ago
2006
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...