DocumentCode
1790442
Title
Gradient local binary patterns for age group estimation
Author
Jae-Ho Jeon ; Jae-Young Lee ; Ji-Sang Bae ; Jong-Ok Kim
Author_Institution
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear
2014
fDate
22-25 June 2014
Firstpage
1
Lastpage
2
Abstract
In this paper, we propose a new texture descriptor GLBP (Gradient LBP) for age group estimation. LBP exploits the only signs of the gradients between a center pixel and its surrounding pixels in a local patch and it does not reflect their magnitudes. This fails LBP to describe local signal structure in detail. Motivated by this observation, we propose so called GLBP, which considers the magnitude as well as the sign of the gradient. Experimental results show that when the proposed method is applied to age group estimation, it can achieve higher classification rate than existing well-known texture descriptors.
Keywords
feature extraction; image classification; image texture; age group estimation; center pixel; classification rate; gradient local binary patterns; gradient sign; surrounding pixel; texture descriptor GLBP; texture descriptors; Computers; Estimation; Face; Feature extraction; Histograms; Indexes; Skin; Age group estimation; Feature extraction; Local Binary Patterns; Local texture descriptor;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location
JeJu Island
Type
conf
DOI
10.1109/ISCE.2014.6884445
Filename
6884445
Link To Document