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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201757
