DocumentCode :
2303473
Title :
A fast method for the Common Vector Approach
Author :
Koç, Mehmet ; Barkana, Atalay
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Anadolu Univ., Eskisehir
fYear :
2009
fDate :
9-11 April 2009
Firstpage :
440
Lastpage :
443
Abstract :
In this paper a new method is proposed to perform the common vector approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect to the scalars. In experimental work, AR face database is used. Method performs the classification approximately 2 times faster than the classical calculations in AR face database.
Keywords :
face recognition; AR face database; common vector approach; scalar classification; Databases; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-4435-9
Electronic_ISBN :
978-1-4244-4436-6
Type :
conf
DOI :
10.1109/SIU.2009.5136427
Filename :
5136427
Link To Document :
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