A new solution to one sample problem in face recognition using FLDA

DOI10.1016/j.amc.2011.05.048zbMath1221.62096OpenAlexW1968871700MaRDI QIDQ555492

Atalay Barkana, Mehmet Koç

Publication date: 22 July 2011

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

Full work available at URL: https://doi.org/10.1016/j.amc.2011.05.048

zbMATH Keywords

singular value decompositionFisher linear discriminant analysisQRCP-decompositionvirtual face image

Mathematics Subject Classification ID

Related Items (5)

Weighted sequential hybrid approaches for time series forecasting ⋮ Fast face recognition based on fractal theory ⋮ Weighted moving averaging revisited: an algebraic approach ⋮ A practical application of kernel-based fuzzy discriminant analysis ⋮ A kernel-based block matrix decomposition approach for the classification of remotely sensed images

Uses Software

• Yale Face
• FERET
• ORL face

Cites Work

• A new face recognition method based on SVD perturbation for single example image per person
• Kernel quadratic discriminant analysis for small sample size problem
• Face recognition from a single image per person: a survey
• On solving the face recognition problem with one training sample per subject
• Face recognition using FLDA with single training image per person
• The Non-Central Multivariate Beta Distribution
• Unnamed Item

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