Computational Cross Ratio for Computer Vision

Kanatani K.
{"title":"Computational Cross Ratio for Computer Vision","authors":"Kanatani K.","doi":"10.1006/ciun.1994.1063","DOIUrl":null,"url":null,"abstract":"<div><p>A new \"computational\" formulation of cross ratio is presented with a view to applications to computer vision problems by extending the framework of \"computational projective geometry\" of Kanatani (<em>Image Understand.</em> 54, 1991, 333-348). As typical examples, we construct procedures for computing the 3-D orientation of a planar shape from its 2-D projection image and the focus of expansion from an image trajectory of a single point by taking advantage of the perspective invariance of cross ratio and \"projective coordinates,\" and the resulting 3-D interpretation of \"harmonic range.\"</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"60 3","pages":"Pages 371-381"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1994.1063","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Image Understanding","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049966084710631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

Abstract

A new "computational" formulation of cross ratio is presented with a view to applications to computer vision problems by extending the framework of "computational projective geometry" of Kanatani (Image Understand. 54, 1991, 333-348). As typical examples, we construct procedures for computing the 3-D orientation of a planar shape from its 2-D projection image and the focus of expansion from an image trajectory of a single point by taking advantage of the perspective invariance of cross ratio and "projective coordinates," and the resulting 3-D interpretation of "harmonic range."

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
计算机视觉的计算交叉比
通过扩展Kanatani的“计算射影几何”框架,提出了一种新的“计算”交叉比公式,以期将其应用于计算机视觉问题(Image Understand. 54,1991,333 -348)。作为典型的例子,我们构建了从平面形状的二维投影图像计算三维方向的程序,并利用交叉比和“射影坐标”的透视不变性,从单点的图像轨迹计算扩展焦点,以及由此产生的“谐波范围”的三维解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Phase-Based Binocular Vergence Control and Depth Reconstruction Using Active Vision 3D Structure Reconstruction from Point Correspondences between two Perspective Projections Default Shape Theory: With Application to the Computation of the Direction of the Light Source Computational Cross Ratio for Computer Vision Refining 3D reconstruction: a theoretical and experimental study of the effect of cross-correlations
×
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