Gabor-Based Region Covariance Matrices for Face Recognition

Yanwei Pang; Yuan Yuan; Xuelong Li

doi:10.1109/tcsvt.2008.924108

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JOURNAL ARTICLE

Gabor-Based Region Covariance Matrices for Face Recognition

Yanwei Pang Yuan Yuan Xuelong Li

Year: 2008 Journal: IEEE Transactions on Circuits and Systems for Video Technology Vol: 18 (7)Pages: 989-993 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tcsvt.2008.924108

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Abstract

This paper presents a new method for human face recognition by utilizing Gabor-based region covariance matrices as face descriptors. Both pixel locations and Gabor coefficients are employed to form the covariance matrices. Experimental results demonstrate the advantages of this proposed method.

Keywords:

Pattern recognition (psychology) Artificial intelligence Facial recognition system Face (sociological concept) Covariance Covariance matrix Pixel Computer vision Computer science Gabor wavelet Covariance intersection Mathematics Estimation of covariance matrices Algorithm Statistics

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Gabor-Based Region Covariance Matrices for Face Recognition

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Citation History

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