782 search results - page 30 / 157 » Using Component Features for Face Recognition |
148
Voted
ACII
2005
Springer
15 years 4 months ago
2005
Springer
In this paper, we present an embedded system in which face recognition and facial expression recognition for Human-Robot Interaction are implemented. To detect face with a fast and...
109
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ISNN
2004
Springer
15 years 7 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...
114
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ACII
2005
Springer
15 years 7 months ago
2005
Springer
This paper proposes a new facial expression recognition method which combines Higher Order Local Autocorrelation (HLAC) features with Weighted PCA. HLAC features are computed at ea...
136
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ICIP
2001
IEEE
16 years 4 months ago
2001
IEEE
3D Human face models have been widely used in applications such as face recognition, facial expression recognition, human action recognition, head tracking, facial animation, vide...
113
Voted
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...