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Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition
A generalized two-dimensional quaternion principal component analysis (G2DQPCA) approach with weighting is presented for color image analysis.
Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition
To enhance the generalization ability of extracted features, a novel relaxed 2DPCA (R2DPCA) is proposed with a new ridge regression model.
Relaxed 2-D Principal Component Analysis by $L_p$ Norm for Face Recognition
A relaxed two dimensional principal component analysis (R2DPCA) approach is proposed for face recognition.
Sample-Relaxed Two-Dimensional Color Principal Component Analysis for Face Recognition and Image Reconstruction
A sample-relaxed two-dimensional color principal component analysis (SR-2DCPCA) approach is presented for face recognition and image reconstruction based on quaternion models.
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