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» A Face Recognition System Based on Local Feature Analysis
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FGR
1998
IEEE
165views Biometrics» more  FGR 1998»
13 years 10 months ago
Face Similarity Space as Perceived by Humans and Artificial Systems
The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LD...
Peter Kalocsai, Wenyi Zhao, Egor Elagin
MVA
2007
191views Computer Vision» more  MVA 2007»
13 years 5 months ago
Face recognition using localized features based on non-negative sparse coding
Neural networks in the visual system may be performing sparse coding of learnt local features that are qualitatively
Bhavin J. Shastri, Martin D. Levine
ICIP
2005
IEEE
13 years 12 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
FGR
2000
IEEE
154views Biometrics» more  FGR 2000»
13 years 10 months ago
Face Recognition Based on Multiple Facial Features
An automatic face recognition system based on multiple facial features is described in this paper. Each facial feature is represented by a Gabor-based complex vector and is locali...
Rui Liao, Stan Z. Li
IVC
2000
188views more  IVC 2000»
13 years 6 months ago
Face recognition by statistical analysis of feature detectors
A successful face recognition system calculates similarity of face images based on the activation of multiscale and multiorientation Gabor kernels, but without utilizing any stati...
Peter Kalocsai, Christoph von der Malsburg, J. Hor...