782 search results - page 69 / 157 » Using Component Features for Face Recognition |
136
Voted
PREMI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very...
112
Voted
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
117
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CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
For object recognition under varying illumination conditions, we propose a method based on photometric alignment. The photometric alignment is known as a technique that models bot...
158
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
124
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MICAI
2000
Springer
15 years 6 months ago
2000
Springer
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...