Two-dimensional approximately harmonic projection for gait recognition

被引：0
|
作者：
Wang, Ziqiang [1 ]
Sun, Xia [1 ]
Sun, Lijun [1 ]
机构：
[1] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450001, Peoples R China
来源：
JOURNAL OF VIBROENGINEERING | 2013年 / 15卷 / 02期
基金：
高等学校博士学科点专项科研基金; 美国国家科学基金会;
关键词：
dimensionality reduction; approximately harmonic projection; matrix representation; gait recognition; DIMENSIONALITY REDUCTION; DISCRIMINANT-ANALYSIS; REPRESENTATION;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper presents a two-dimensional approximately harmonic projection (2DAHP) algorithm for gait recognition. 2DAHP is originated from the approximately harmonic projection (AHP), while 2DAHP offers some advantages over AHP. 1) 2DAHP can preserve the local geometrical structure and cluster structure of image data as AHP. 2) 2DAHP encodes images as matrices or second-order tensors rather than one-dimensional vectors, so 2DAHP can keep the correlation among different coordinates of image data. 3) 2DAHP avoids the singularity problem suffered by AHP. 4) 2DAHP runs faster than AHP. Extensive experiments on gait recognition show the effectiveness and efficiency of the proposed method.
引用
收藏
页码：693 / 702
页数：10
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