{"title":"密集等等值线成像","authors":"V. Matvienko, J. Krüger","doi":"10.1145/2542355.2542375","DOIUrl":null,"url":null,"abstract":"We present an imaging technique intended to explore multi-scale image structures, represented by isophotes (lines of constant brightness) for photo images or in general case isolines. The cornerstone of the discussed technique is a view dependent periodic transfer function with the period depending on the gradient magnitude of the underlying scalar function such as to create a dense visualization independent of the gradient magnitude. We demonstrate that our approach is easy to implement, computationally efficient, and suitable for the fields that have reasonably structured isolines, i.e., that are sufficiently smooth.","PeriodicalId":232593,"journal":{"name":"SIGGRAPH Asia 2013 Technical Briefs","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dense isocontour imaging\",\"authors\":\"V. Matvienko, J. Krüger\",\"doi\":\"10.1145/2542355.2542375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an imaging technique intended to explore multi-scale image structures, represented by isophotes (lines of constant brightness) for photo images or in general case isolines. The cornerstone of the discussed technique is a view dependent periodic transfer function with the period depending on the gradient magnitude of the underlying scalar function such as to create a dense visualization independent of the gradient magnitude. We demonstrate that our approach is easy to implement, computationally efficient, and suitable for the fields that have reasonably structured isolines, i.e., that are sufficiently smooth.\",\"PeriodicalId\":232593,\"journal\":{\"name\":\"SIGGRAPH Asia 2013 Technical Briefs\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGGRAPH Asia 2013 Technical Briefs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2542355.2542375\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2013 Technical Briefs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2542355.2542375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present an imaging technique intended to explore multi-scale image structures, represented by isophotes (lines of constant brightness) for photo images or in general case isolines. The cornerstone of the discussed technique is a view dependent periodic transfer function with the period depending on the gradient magnitude of the underlying scalar function such as to create a dense visualization independent of the gradient magnitude. We demonstrate that our approach is easy to implement, computationally efficient, and suitable for the fields that have reasonably structured isolines, i.e., that are sufficiently smooth.