DocumentCode
3057881
Title
A face recognition method using higher order local autocorrelation and multivariate analysis
Author
Kurita, T. ; Otsu, N. ; Sato, T.
Author_Institution
Electrotechnical Lab., Tsukuba, Japan
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
213
Lastpage
216
Abstract
Proposes a face recognition method which is characterized by structural simplicity, trainability and high speed. The method consists of two stages of feature extractions: first, higher order local autocorrelation features which are shift-invariant and additive are extracted from an input image; then those features are linearly combined on the basis of multivariate analysis methods so as to provide new effective features for face recognition in learning from examples
Keywords
computer vision; correlation methods; face recognition; feature extraction; learning systems; computer vision; face recognition; feature extractions; higher order local autocorrelation; learning systems; multivariate analysis; pattern recognition; Autocorrelation; Cameras; Face recognition; Feature extraction; Image analysis; Image recognition; Linear discriminant analysis; Prototypes; TV; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201757
Filename
201757
Link To Document