CSpace  > 中国科学院计算技术研究所期刊论文  > 英文
Geometric moment invariants
Xu, Dong; Li, Hua
2008
发表期刊PATTERN RECOGNITION
ISSN0031-3203
卷号41期号:1页码:240-249
摘要This paper derives moment invariants in an intuitive way by multiple integrals of invariant geometric primitives like distance, area and volume. Many existing 2-D and 3-D moment invariants are re-expressed to prove the correctness of this method. Furthermore, this construction method can be easily extended to higher dimensional space and get higher-order moment invariants. Explicit expressions of 3-D moment invariants are generated automatically with the help of symbolic computation software and can be regarded as a kind of shape descriptor for the representation of solid objects. (C) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
关键词geometric primitive moment invariant similarity transformation symbolic computation
DOI10.1016/j.patcog.2007.05.001
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000250028700018
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
被引频次:115[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/11206
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Xu, Dong
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Comp Syst & Architecture, Beijing 100080, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Natl Res Ctr Intelligent Comp Syst, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Xu, Dong,Li, Hua. Geometric moment invariants[J]. PATTERN RECOGNITION,2008,41(1):240-249.
APA Xu, Dong,&Li, Hua.(2008).Geometric moment invariants.PATTERN RECOGNITION,41(1),240-249.
MLA Xu, Dong,et al."Geometric moment invariants".PATTERN RECOGNITION 41.1(2008):240-249.
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, Dong]的文章
[Li, Hua]的文章
百度学术
百度学术中相似的文章
[Xu, Dong]的文章
[Li, Hua]的文章
必应学术
必应学术中相似的文章
[Xu, Dong]的文章
[Li, Hua]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。