(2D)\(^2\)PCALDA: An efficient approach for face recognition

DOI10.1016/J.AMC.2009.03.014zbMath1163.68334OpenAlexW2058666955MaRDI QIDQ1030210

Jiashu Zhang, Yongfeng Qi

Publication date: 1 July 2009

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2009.03.014

zbMATH Keywords

face recognitiontwo-dimensional linear discriminant analysistwo-dimensional principal component analysis

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Feature extraction using two-dimensional local graph embedding based on maximum margin criterion ⋮ Fusion (2D)\(^{2}\)PCALDA: a new method for face recognition

Uses Software

• Yale Face
• FERET
• ORL face

Cites Work

• From image vector to matrix: A straightforward image projection technique -- IMPCA vs. PCA
• (2D)\(^{2}\)LDA: an efficient approach for face recognition
• Face recognition using a fusion method based on bidirectional 2DPCA
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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