{"title":"自适应网格构造的边缘提取","authors":"R. Miyazaki, K. Harada","doi":"10.1109/CGI.1999.777955","DOIUrl":null,"url":null,"abstract":"We propose the method of extracting sharp edges of an object from range data in order to create an adaptive mesh model. So far, when an adaptive mesh model is created from range data, we extract points that present important features such as high curvature points of an object. The human vision system relies heavily on sharp edges to recognize objects. So the location of sharp edges of an object should be retained as well when creating an adaptive mesh model. Sharp edges are expressed by the connectivity of points in a mesh model. Our method handles directly the information of the connectivity to create the mesh model.","PeriodicalId":165593,"journal":{"name":"1999 Proceedings Computer Graphics International","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Edge extraction for adaptive mesh construction\",\"authors\":\"R. Miyazaki, K. Harada\",\"doi\":\"10.1109/CGI.1999.777955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the method of extracting sharp edges of an object from range data in order to create an adaptive mesh model. So far, when an adaptive mesh model is created from range data, we extract points that present important features such as high curvature points of an object. The human vision system relies heavily on sharp edges to recognize objects. So the location of sharp edges of an object should be retained as well when creating an adaptive mesh model. Sharp edges are expressed by the connectivity of points in a mesh model. Our method handles directly the information of the connectivity to create the mesh model.\",\"PeriodicalId\":165593,\"journal\":{\"name\":\"1999 Proceedings Computer Graphics International\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 Proceedings Computer Graphics International\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CGI.1999.777955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 Proceedings Computer Graphics International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGI.1999.777955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose the method of extracting sharp edges of an object from range data in order to create an adaptive mesh model. So far, when an adaptive mesh model is created from range data, we extract points that present important features such as high curvature points of an object. The human vision system relies heavily on sharp edges to recognize objects. So the location of sharp edges of an object should be retained as well when creating an adaptive mesh model. Sharp edges are expressed by the connectivity of points in a mesh model. Our method handles directly the information of the connectivity to create the mesh model.