161 search results - page 15 / 33 » Multiple-Exemplar Discriminant Analysis for Face Recognition |
103
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ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
We propose a face difference model that decomposes face difference into three components, intrinsic difference, transformation difference, and noise. Using the face difference mod...
CIVR
2005
Springer
15 years 3 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...
ISCIS
2005
Springer
15 years 3 months ago
2005
Springer
In 3D face recognition systems, 3D facial shape information plays an important role. 3D face recognizers usually depend on point cloud representation of faces where faces are repre...
104
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ICCV
2003
IEEE
15 years 11 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...
109
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CIVR
2007
Springer
15 years 3 months ago
2007
Springer
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...