Image covariance-based subspace method for face recognition

DOI10.1016/J.PATCOG.2006.09.010zbMath1107.68463OpenAlexW2008668064MaRDI QIDQ869056

Chunghoon Kim, Chong-Ho Choi

Publication date: 26 February 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.09.010

zbMATH Keywords

principal component analysisface recognitionlinear discriminant analysissubspace methodimage covariance matrixwindowed feature

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

A discriminant analysis using composite features for classification problems ⋮ Avoiding Optimal Mean ℓ_2,1-Norm Maximization-Based Robust PCA for Reconstruction ⋮ Feature extraction for classification problems and its application to face recognition

Uses Software

• FERET
• CMU PIE
• ORL face

Cites Work

• Two-dimensional discriminant transform for face recognition
• From image vector to matrix: A straightforward image projection technique -- IMPCA vs. PCA
• Face recognition using direct, weighted linear discriminant analysis and modular subspaces
• On Estimation of a Probability Density Function and Mode
• A direct LDA algorithm for high-dimensional data -- with application to face recognition
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Image covariance-based subspace method for face recognition