{"title":"利用松弛来识别被遮挡的形状","authors":"Wallace S Rutkowski","doi":"10.1016/0146-664X(82)90103-4","DOIUrl":null,"url":null,"abstract":"<div><p>Relaxation methods have been used to segment and recognize shapes that have ambiguous segmentations and that are in contact with other shapes. This paper extends this work to handle major occlusions or missing parts, using a general method of representing shapes by primitive boundary segments.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"19 2","pages":"Pages 111-128"},"PeriodicalIF":0.0000,"publicationDate":"1982-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90103-4","citationCount":"23","resultStr":"{\"title\":\"Recognition of occluded shapes using relaxation\",\"authors\":\"Wallace S Rutkowski\",\"doi\":\"10.1016/0146-664X(82)90103-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Relaxation methods have been used to segment and recognize shapes that have ambiguous segmentations and that are in contact with other shapes. This paper extends this work to handle major occlusions or missing parts, using a general method of representing shapes by primitive boundary segments.</p></div>\",\"PeriodicalId\":100313,\"journal\":{\"name\":\"Computer Graphics and Image Processing\",\"volume\":\"19 2\",\"pages\":\"Pages 111-128\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1982-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0146-664X(82)90103-4\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Graphics and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0146664X82901034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Graphics and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0146664X82901034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relaxation methods have been used to segment and recognize shapes that have ambiguous segmentations and that are in contact with other shapes. This paper extends this work to handle major occlusions or missing parts, using a general method of representing shapes by primitive boundary segments.
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