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