{"title":"非线性放大变换技术","authors":"Alan Keahey, E. Robertson","doi":"10.1109/INFVIS.1996.559214","DOIUrl":null,"url":null,"abstract":"This paper presents efficient methods for implementing general non-linear magnification transformations. Techniques are provided for: combining linear and non-linear magnifications, constraining the domain of magnifications, combining multiple transformations, and smoothly interpolating between magnified and normal views. In addition, piecewise linear methods are introduced which allow greater efficiency and expressiveness than their continuous counterparts.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"76 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"143","resultStr":"{\"title\":\"Techniques for non-linear magnification transformations\",\"authors\":\"Alan Keahey, E. Robertson\",\"doi\":\"10.1109/INFVIS.1996.559214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents efficient methods for implementing general non-linear magnification transformations. Techniques are provided for: combining linear and non-linear magnifications, constraining the domain of magnifications, combining multiple transformations, and smoothly interpolating between magnified and normal views. In addition, piecewise linear methods are introduced which allow greater efficiency and expressiveness than their continuous counterparts.\",\"PeriodicalId\":153504,\"journal\":{\"name\":\"Proceedings IEEE Symposium on Information Visualization '96\",\"volume\":\"76 8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"143\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Symposium on Information Visualization '96\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFVIS.1996.559214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Symposium on Information Visualization '96","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFVIS.1996.559214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Techniques for non-linear magnification transformations
This paper presents efficient methods for implementing general non-linear magnification transformations. Techniques are provided for: combining linear and non-linear magnifications, constraining the domain of magnifications, combining multiple transformations, and smoothly interpolating between magnified and normal views. In addition, piecewise linear methods are introduced which allow greater efficiency and expressiveness than their continuous counterparts.
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