计算机视觉中的曲率尺度空间技术:基本概念与理论发展

Baojiang Zhong, K. Ma, Wenzhong Liu
{"title":"计算机视觉中的曲率尺度空间技术:基本概念与理论发展","authors":"Baojiang Zhong, K. Ma, Wenzhong Liu","doi":"10.1109/CCPR.2009.5344122","DOIUrl":null,"url":null,"abstract":"Scale space techniques have attracted much attention in the field of computer vision and image processing. In particular, the curvature scale space (CSS) technique was selected in the MPEG-7 standard due to a number of nice properties. In this paper the scale space concept is first explained in detail and its significance in solving shape-based vision problems is clarified. A brief survey of the theoretical developments of the CSS technique in the past few decades is then presented.","PeriodicalId":354468,"journal":{"name":"2009 Chinese Conference on Pattern Recognition","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Curvature Scale Space Technique in Computer Vision: Basic Concept and Theoretical Developments\",\"authors\":\"Baojiang Zhong, K. Ma, Wenzhong Liu\",\"doi\":\"10.1109/CCPR.2009.5344122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scale space techniques have attracted much attention in the field of computer vision and image processing. In particular, the curvature scale space (CSS) technique was selected in the MPEG-7 standard due to a number of nice properties. In this paper the scale space concept is first explained in detail and its significance in solving shape-based vision problems is clarified. A brief survey of the theoretical developments of the CSS technique in the past few decades is then presented.\",\"PeriodicalId\":354468,\"journal\":{\"name\":\"2009 Chinese Conference on Pattern Recognition\",\"volume\":\"1 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPR.2009.5344122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPR.2009.5344122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

尺度空间技术在计算机视觉和图像处理领域受到广泛关注。特别是,曲率尺度空间(CSS)技术被选择在MPEG-7标准中,因为它有许多很好的特性。本文首先详细阐述了尺度空间的概念,阐明了尺度空间在解决基于形状的视觉问题中的意义。然后简要介绍了过去几十年CSS技术的理论发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Curvature Scale Space Technique in Computer Vision: Basic Concept and Theoretical Developments
Scale space techniques have attracted much attention in the field of computer vision and image processing. In particular, the curvature scale space (CSS) technique was selected in the MPEG-7 standard due to a number of nice properties. In this paper the scale space concept is first explained in detail and its significance in solving shape-based vision problems is clarified. A brief survey of the theoretical developments of the CSS technique in the past few decades is then presented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Motion Detection Based on Directional Rectangular Pattern and Adaptive Threshold Propagation in the Complex Background An Algorithm for Ellipse Detection Based on Geometry Color Image Segmentation Using Combined Information of Color and Texture Use Fukunaga-Koontz Transform to Solve Occlusion Problems in Multitarget Tracking A Discretization Algorithm of Continuous Attributes Based on Supervised Clustering
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1