104 search results - page 2 / 21 » Line-Based PCA and LDA Approaches for Face Recognition |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
IEEECIT
2010
IEEE
13 years 4 months ago
2010
IEEE
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...
ICIAR
2004
Springer
14 years 25 days ago
2004
Springer
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
NIPS
2004
13 years 8 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...