Search Results for author: Mei-Xiang Zhao

Found 4 papers, 0 papers with code

Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition

no code implementations4 Oct 2020 Zhi-Gang Jia, Zi-Jin Qiu, Mei-Xiang Zhao

A generalized two-dimensional quaternion principal component analysis (G2DQPCA) approach with weighting is presented for color image analysis.

Face Recognition

Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition

no code implementations19 Dec 2019 Mei-Xiang Zhao, Zhi-Gang Jia, Yunfeng Cai, Xiao Chen, Dunwei Gong

To enhance the generalization ability of extracted features, a novel relaxed 2DPCA (R2DPCA) is proposed with a new ridge regression model.

Face Recognition Image Reconstruction +1

Relaxed 2-D Principal Component Analysis by $L_p$ Norm for Face Recognition

no code implementations15 May 2019 Xiao Chen, Zhi-Gang Jia, Yunfeng Cai, Mei-Xiang Zhao

A relaxed two dimensional principal component analysis (R2DPCA) approach is proposed for face recognition.

Face Recognition

Sample-Relaxed Two-Dimensional Color Principal Component Analysis for Face Recognition and Image Reconstruction

no code implementations10 Mar 2018 Mei-Xiang Zhao, Zhigang Jia, Dunwei Gong

A sample-relaxed two-dimensional color principal component analysis (SR-2DCPCA) approach is presented for face recognition and image reconstruction based on quaternion models.

Face Recognition Image Reconstruction

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