413 search results - page 9 / 83 » Face recognition using mixtures of principal components |
171
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ICIP
2007
IEEE
16 years 9 days ago
2007
IEEE
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
193
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IPAS
2010
15 years 3 months ago
2010
In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same...
144
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ISNN
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
173
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CVPR
1998
IEEE
16 years 8 months ago
1998
IEEE
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
179
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ICIAR
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...