2629 search results - page 24 / 526 » Components for Face Recognition |
105
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FGR
1998
IEEE
15 years 4 months ago
1998
IEEE
Automated recognition of facial expression is an important addition to computer vision research because of its relevance to the study of psychological phenomena and the developmen...
PR
2008
14 years 11 months ago
2008
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
115
Voted
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
107
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
82
Voted
CVPR
1999
IEEE
16 years 1 months ago
1999
IEEE
Facial variation divides into a number of functional subspaces. An improved method of measuring these was designed, within the space defined by an Appearance Model. Initial estima...