Two-Dimensional Quaternion PCA and Sparse PCA

Xiaolin Xiao

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Yicong Zhou (周怡聰)

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IEEE Transactions on Neural Networks and Learning Systems, pp. 2028-2042, 2018.

Cited by: 12|Views8

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Keywords:

QuaternionsPrincipal component analysisFeature extractionMathematical modelTwo dimensional displaysMore(2+)

Abstract:

Benefited from quaternion representation that is able to encode the cross-channel correlation of color images, quaternion principle component analysis (QPCA) was proposed to extract features from color images while reducing the feature dimension. A quaternion covariance matrix (QCM) of input samples was constructed, and its eigenvectors w...More

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