{"title":"边缘图像中SHGC对象的查找与恢复","authors":"Sato H., Binford T.O.","doi":"10.1006/ciun.1993.1023","DOIUrl":null,"url":null,"abstract":"<div><p>A set of modules to extract partial descriptions of SHGC objects in an edge image is presented. It consists of modules to find end edges, to find meridian edges, to find cross-section edges, and to recover 3D shapes. The first goal of the system is to extract geometrical edges derived from an SHGC object. From an input edge image, pairs of end edges are detected first by verifying strong geometrical constraints for the ends of an SHGC. Then, meridian edges are detected by using the constraint for tangent intersections and the ones related to the end edges. The second goal is to recover 3D information of the object. The axis of SHGC and the axes of skewed symmetry in cross-section edges are detected. Then, original cross section and the sweeping rule are recovered by utilizing these three orthogonal axes. Extracted geometrical edges and 3D information from real images are shown.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1993-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1993.1023","citationCount":"44","resultStr":"{\"title\":\"Finding and Recovering SHGC Objects in an Edge Image\",\"authors\":\"Sato H., Binford T.O.\",\"doi\":\"10.1006/ciun.1993.1023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A set of modules to extract partial descriptions of SHGC objects in an edge image is presented. It consists of modules to find end edges, to find meridian edges, to find cross-section edges, and to recover 3D shapes. The first goal of the system is to extract geometrical edges derived from an SHGC object. From an input edge image, pairs of end edges are detected first by verifying strong geometrical constraints for the ends of an SHGC. Then, meridian edges are detected by using the constraint for tangent intersections and the ones related to the end edges. The second goal is to recover 3D information of the object. The axis of SHGC and the axes of skewed symmetry in cross-section edges are detected. Then, original cross section and the sweeping rule are recovered by utilizing these three orthogonal axes. Extracted geometrical edges and 3D information from real images are shown.</p></div>\",\"PeriodicalId\":100350,\"journal\":{\"name\":\"CVGIP: Image Understanding\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/ciun.1993.1023\",\"citationCount\":\"44\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CVGIP: Image Understanding\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1049966083710235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Image Understanding","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049966083710235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finding and Recovering SHGC Objects in an Edge Image
A set of modules to extract partial descriptions of SHGC objects in an edge image is presented. It consists of modules to find end edges, to find meridian edges, to find cross-section edges, and to recover 3D shapes. The first goal of the system is to extract geometrical edges derived from an SHGC object. From an input edge image, pairs of end edges are detected first by verifying strong geometrical constraints for the ends of an SHGC. Then, meridian edges are detected by using the constraint for tangent intersections and the ones related to the end edges. The second goal is to recover 3D information of the object. The axis of SHGC and the axes of skewed symmetry in cross-section edges are detected. Then, original cross section and the sweeping rule are recovered by utilizing these three orthogonal axes. Extracted geometrical edges and 3D information from real images are shown.
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