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» New Feature Extraction Approaches for Face Recognition
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ISNN
2004
Springer
15 years 2 months ago
Progressive Principal Component Analysis
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...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
ICIAP
2001
Springer
15 years 9 months ago
Eigenspace-Based Recognition of Faces: Comparisons and a New Approach
Different eigenspace-based approaches have been proposed for the recognition of faces. They differ mostly in the kind of projection method been used and in the similarity matching ...
Pablo Navarrete, Javier Ruiz-del-Solar
ICIAR
2004
Springer
15 years 2 months ago
Real-Time Facial Feature Extraction by Cascaded Parameter Prediction and Image Optimization
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Fei Zuo, Peter H. N. de With
AC
2003
Springer
15 years 2 months ago
A Face Recognition System Based on Local Feature Characterization
A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines...
Paola Campadelli, Raffaella Lanzarotti
CVPR
2010
IEEE
15 years 2 months ago
A Novel Markov Random Field Based Deformable Model for Face Recognition
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...
Shu Liao, Albert C.S. Chung