A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting.
A face recognition system based on local feature characterization / P. Campadelli, R. Lanzarotti - In: Advanced Studies in Biometrics: Summer School on Biometrics : Alghero, Italy, June 2-6, 2003 : Revised Selected Lectures and Papers / Massimo Tistarelli, Josef Bigun, Enrico Grosso. - Berlin : Springer, 2005. - ISBN 3540262040. - pp. 147-152 (( convegno Summer School on Biometrics tenutosi a Alghero, ITALY nel 2005.
A face recognition system based on local feature characterization
P. CampadelliPrimo
;R. LanzarottiUltimo
2005
Abstract
A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting.
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