CASIA OpenIR  > 09年以前成果
3D face recognition based on G-H shape variation
Xu, CH; Wang, YH; Tan, TN
2004
发表期刊ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
卷号3338期号:0页码:233-243
文章类型Article
摘要Face recognition has been an interesting issue in pattern recognition over the past few decades. In this paper, we propose a new method for face recognition using 3D information. During preprocessing, the scanned 3D point clouds are first registered together, and at the same time, the regular meshes are generated. Then the novel shape variation representation based on Gaussian-Hermite moments (GH-SVI) is proposed to characterize an individual. Experimental results on the 3D face database 3DPEF, with complex pose and expression variations, and 3D_RMA, likely the largest 3D face database currently available, demonstrate that the proposed features are very important to characterize an individual.
关键词None
WOS标题词Science & Technology ; Technology
关键词[WOS]MOMENTS
收录类别SCI ; ISTP
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000226133000025
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9027
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Hong Kong Univ Sci & Technol, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Xu, CH,Wang, YH,Tan, TN. 3D face recognition based on G-H shape variation[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2004,3338(0):233-243.
APA Xu, CH,Wang, YH,&Tan, TN.(2004).3D face recognition based on G-H shape variation.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3338(0),233-243.
MLA Xu, CH,et al."3D face recognition based on G-H shape variation".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3338.0(2004):233-243.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, CH]的文章
[Wang, YH]的文章
[Tan, TN]的文章
百度学术
百度学术中相似的文章
[Xu, CH]的文章
[Wang, YH]的文章
[Tan, TN]的文章
必应学术
必应学术中相似的文章
[Xu, CH]的文章
[Wang, YH]的文章
[Tan, TN]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。