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 , John E.W. Mayhew, 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.