{"title":"纹理简化在3D地图可视化在低分辨率","authors":"I. R. Khan, M. Okuda","doi":"10.1109/ISPACS.2006.364827","DOIUrl":null,"url":null,"abstract":"Three-dimensional (3D) urban models, come with huge data size, mainly consisting of the information of geometry and the texture, and the simplification of both is often needed for efficient streaming, rendering and visualization. In this paper, we present different techniques for simplification of different types of the texture images in 3D urban maps, aiming at their visualization on low resolution screens, such as those of the cell phones. We sort the images into two different classes based on their certain features, and develop suitable simplification techniques for each class. The simplified images preserve the main features and have significantly smaller size as compared to the originals","PeriodicalId":178644,"journal":{"name":"2006 International Symposium on Intelligent Signal Processing and Communications","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Texture Simplification in 3D Maps for Visualization at Low Resolution\",\"authors\":\"I. R. Khan, M. Okuda\",\"doi\":\"10.1109/ISPACS.2006.364827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three-dimensional (3D) urban models, come with huge data size, mainly consisting of the information of geometry and the texture, and the simplification of both is often needed for efficient streaming, rendering and visualization. In this paper, we present different techniques for simplification of different types of the texture images in 3D urban maps, aiming at their visualization on low resolution screens, such as those of the cell phones. We sort the images into two different classes based on their certain features, and develop suitable simplification techniques for each class. The simplified images preserve the main features and have significantly smaller size as compared to the originals\",\"PeriodicalId\":178644,\"journal\":{\"name\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"volume\":\"165 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2006.364827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Symposium on Intelligent Signal Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2006.364827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Texture Simplification in 3D Maps for Visualization at Low Resolution
Three-dimensional (3D) urban models, come with huge data size, mainly consisting of the information of geometry and the texture, and the simplification of both is often needed for efficient streaming, rendering and visualization. In this paper, we present different techniques for simplification of different types of the texture images in 3D urban maps, aiming at their visualization on low resolution screens, such as those of the cell phones. We sort the images into two different classes based on their certain features, and develop suitable simplification techniques for each class. The simplified images preserve the main features and have significantly smaller size as compared to the originals