Two-dimensional principal component analysis for face image representation and recognition

• Autorzy: Kukharev G. , Shchegoleva N.
• Języki publikacji: EN

Abstrakty

EN

Paper presents two-dimensional principal component analysis (2D PCA) applications for face image analysis. The method is based on representation of an image as a collection of its rows and columns, and application of PCA to these collections. Two versions of 2D PCA implementation called parallel and cascade forms and their specific characteristics are presented. In experiments both forms are applied to representation and recognition of face images using two standard databases ORL and FERET.

Słowa kluczowe

EN

two-dimensional 2D PCA; parallel and cascade algorithm PCA

PL

2D PCA dwuwymiarowe; równoległy i kaskadowy algorytm PCA

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2010
• Tom: nr 3 (23)
• Strony: 149--168
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Kukharev G.

autor

Shchegoleva N.

• West Pomeranian University of Technology, Szczecin, Poland

Bibliografia

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