DocumentCode :
3454627
Title :
Novel face recognition method using trend vector for a multimedia album
Author :
Lee, Sung-Ho ; Han, Jong-Woo ; Kwon, Oh-Jung ; Kim, Tae-Hyun ; Ko, Sung-Jea
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear :
2012
fDate :
13-16 Jan. 2012
Firstpage :
490
Lastpage :
491
Abstract :
Automatic recognition of faces in photos is a highly challenging task since face appearance varies with poses, expressions, and lighting conditions. In this paper, we introduce a novel face recognition method using the trend vector which consists of the distances between the probed feature vector with all reference feature vectors in the gallery. Experimental results show that the proposed method achieves higher recognition rate than the conventional methods under the aforementioned challenging conditions.
Keywords :
face recognition; feature extraction; multimedia systems; vectors; expression condition; face appearance; face recognition method; feature vector; lighting condition; multimedia album; pose condition; trend vector; Conferences; Databases; Discrete cosine transforms; Face; Face detection; Face recognition; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4577-0230-3
Type :
conf
DOI :
10.1109/ICCE.2012.6161988
Filename :
6161988
Link To Document :
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