Using Feature of Nose and HAT-MARS Descriptor for Face Recognition with Pose Variance

被引：0

作者：

Tan Huy Thai ^{[1
]}

Thai Hoang Le ^{[2
]}

机构：

[1] Univ Sci HCMC, Ho Chi Minh City, Vietnam

[2] Univ Sci HCMC, Dept Comp Sci, Ho Chi Minh City, Vietnam

来源：

PROCEEDINGS OF 2015 2ND NATIONAL FOUNDATION FOR SCIENCE AND TECHNOLOGY DEVELOPMENT CONFERENCE ON INFORMATION AND COMPUTER SCIENCE NICS 2015 | 2015年

关键词：

face recognition; pose variance; feature of nose; HAT-MARS descriptor;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposes an effective method to construct a new descriptor for solving face recognition with pose variance. In this method, we use feature of nose and HAT-MARS descriptor to build a combined descriptor for matching between gallery and probe images. For experiments, our method uses only one gallery image on CMU-PIE database. The empirical results show that our method is strong and efficient.

引用

页码：99 / 104

页数：6

共 14 条

[1] Face description with local binary patterns:: Application to face recognition [J].