Title :
Face Identification Algorithm Based on Synthetic Linear Descriptors
Author :
Sadykhov, R. Kh ; Samokhval, V.A.
Author_Institution :
Comput. Dept., Belarusian State Univ. of Inf. & Radioelectron., Minsk
Abstract :
This paper presents appearance-based face identification algorithm by means of synthetic linear filters. The objective of our research is to construct facial descriptor in the form of linear filter, which should produce high and low outputs for intra- and inter-class recognition problem correspondingly. This filter can be synthesized from 2.5 D sparse mesh derived from a given set of images of a person. As ever the filter is created it is then used as facial descriptor, i.e. serves as personal ID for face identification.
Keywords :
face recognition; filtering theory; face identification algorithm; facial descriptor; inter-class recognition; intra-class recognition; personal ID; synthetic linear descriptors; synthetic linear filters; Conferences; Face detection; Face recognition; Image storage; Independent component analysis; Informatics; Linear discriminant analysis; Nonlinear filters; Principal component analysis; Training data; appearance-based approach; discriminant function; face recognition; synthetic linear descriptors;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
DOI :
10.1109/IDAACS.2005.283053
