Exploiting image-plane data in the interpretation of edge-based binocular disparity

Tony P. Pridmore , John E.W. Mayhew, John P. Frisby
{"title":"Exploiting image-plane data in the interpretation of edge-based binocular disparity","authors":"Tony P. Pridmore ,&nbsp;John E.W. Mayhew,&nbsp;John P. Frisby","doi":"10.1016/0734-189X(90)90121-B","DOIUrl":null,"url":null,"abstract":"<div><p>We consider the exploitation of 2D, image-plane measurements by the 3D grouping (CONNECT) and contour segmentation/description (GDF) modules of the TINA binocular vision system. The combination of point strings obtained separately by CONNECT from matched and raw edges is discussed and a simple approach to grouping 2 and 3D edges presented. An upgraded GDF is also described. This uses raw edges to guide both segmentation and description. Over-segmentation is thus reduced and a greater proportion of the connected edges assigned to reliable, 3D descriptive elements. Should binocular correspondence fail for any reason, default, two-dimensional descriptions are produced automatically.</p></div>","PeriodicalId":100319,"journal":{"name":"Computer Vision, Graphics, and Image Processing","volume":"52 1","pages":"Pages 1-25"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0734-189X(90)90121-B","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Vision, Graphics, and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0734189X9090121B","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

We consider the exploitation of 2D, image-plane measurements by the 3D grouping (CONNECT) and contour segmentation/description (GDF) modules of the TINA binocular vision system. The combination of point strings obtained separately by CONNECT from matched and raw edges is discussed and a simple approach to grouping 2 and 3D edges presented. An upgraded GDF is also described. This uses raw edges to guide both segmentation and description. Over-segmentation is thus reduced and a greater proportion of the connected edges assigned to reliable, 3D descriptive elements. Should binocular correspondence fail for any reason, default, two-dimensional descriptions are produced automatically.

利用图像平面数据解释基于边缘的双眼视差
我们考虑利用TINA双目视觉系统的3D分组(CONNECT)和轮廓分割/描述(GDF)模块对二维图像平面测量进行开发。讨论了用CONNECT分别从匹配边缘和原始边缘得到的点串的组合,并提出了一种对2和三维边缘进行分组的简单方法。还描述了升级后的GDF。它使用原始边缘来指导分割和描述。因此,减少了过度分割,并将更大比例的连接边缘分配给可靠的3D描述性元素。如果双目对应由于任何原因失败,默认情况下,二维描述将自动生成。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信