TY  - JOUR
TI  - Algorithms 2DPCA for face recognition
T2  - 
IS  - 
KW  - a two-dimensional Karhunen-Loeve transformation
KW  - the use in the business applications
KW  - Two-dimensional principal component analysis
KW  - the face recognition
AB  - In article presents algorithms for two-dimensional principal component analysis (Two-dimensional Principal Component Analysis - 2D PCA)-oriented processing of digital images of large sizes in a small sample. Algorithms based on direct calculation of two covariance matrices for all source images without converting them into vectors. Evaluated characteristics of the presented algorithms. We discuss possibilities presented by the use of algorithms in other areas.
AU  - N. Shchegoleva
AU  - Georgy Kukharev
UR  - https://bijournal.hse.ru/en/2011--4 (18)/44326814.html
PY  - 2011
SP  - 31-38
VL  -