Multi-Orientation Log-Gabor Local Binary Pattern for Face Representation and Recognition

被引：0
|
作者：
Zhang, Cheng [1 ]
Gu, Yuzhang [1 ]
Zhang, Zhengmin [1 ]
Zhan, Yunlong [1 ]
机构：
[1] Shanghai Inst Microsyst & Informat Technol, Shanghai, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2015年 / E98D卷 / 02期
关键词：
face recognition; YIQ; Log-Gabor; LBP; simultaneous variation; CLASSIFICATION; MODEL;
D O I：
10.1587/transinf.2014EDL8120
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a face representation approach using multi-orientation Log-Gabor local binary pattern (MOLGLBP) for realizing face recognition under facial expressions, illuminations and partial occlusions. Log-Gabor filters with different scales (frequencies) and orientations are applied on Y, I, and Q channel image in the YIQ color space respectively. Then Log-Gabor images of different orientations at the same scale are combined to form a multi-orientation Log-Gabor image (MOLGI) and two LBP operators are applied to it. For face recognition, histogram intersection metric is utilized to measure the similarity of faces. The proposed approach is evaluated on the CurtinFaces database and experiments demonstrate that the proposed approach is effectiveness against two simultaneous variations: expression & illumination, and illumination & occlusion.
引用
收藏
页码：448 / 452
页数：5
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