no code implementations • 10 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.
no code implementations • 15 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.
no code implementations • 19 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.
no code implementations • 4 Oct 2020 • Zhi-Gang Jia, Zi-Jin Qiu, Qian-Yu Wang, Mei-Xiang Zhao, Dan-Dan Zhu
One of the most powerful methods of color image recognition is the two-dimensional principle component analysis (2DQPCA) approach, which is based on quaternion representation and preserves color information very well.
no code implementations • 12 Jun 2023 • Mei-Xiang Zhao, Zhi-Gang Jia, Dun-Wei Gong, Yong Zhang
A new data-driven bilateral generalized two-dimensional quaternion principal component analysis (BiG2DQPCA) is presented to extract the features of matrix samples from both row and column directions.