Xiaowei Zhang, C. May, G. Nishida, Daniel G. Aliaga
{"title":"基于卫星的三维建筑交互式渲染的逐步正则化","authors":"Xiaowei Zhang, C. May, G. Nishida, Daniel G. Aliaga","doi":"10.1145/3384382.3384526","DOIUrl":null,"url":null,"abstract":"Automatic creation of lightweight 3D building models from satellite image data enables large and widespread 3D interactive urban rendering. Towards this goal, we present an inverse procedural modeling method to automatically create building envelopes from satellite imagery. Our key observation is that buildings exhibit regular properties. Hence, we can overcome the low-resolution, noisy, and partial building data obtained from satellite by using a two stage inverse procedural modeling technique. Our method takes in point cloud data obtained from multi-view satellite stereo processing and produces a crisp and regularized building envelope suitable for fast rendering and optional projective texture mapping. Further, our results show highly complete building models with quality superior to that of other compared-to approaches.","PeriodicalId":91160,"journal":{"name":"Proceedings. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Progressive Regularization of Satellite-Based 3D Buildings for Interactive Rendering\",\"authors\":\"Xiaowei Zhang, C. May, G. Nishida, Daniel G. Aliaga\",\"doi\":\"10.1145/3384382.3384526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic creation of lightweight 3D building models from satellite image data enables large and widespread 3D interactive urban rendering. Towards this goal, we present an inverse procedural modeling method to automatically create building envelopes from satellite imagery. Our key observation is that buildings exhibit regular properties. Hence, we can overcome the low-resolution, noisy, and partial building data obtained from satellite by using a two stage inverse procedural modeling technique. Our method takes in point cloud data obtained from multi-view satellite stereo processing and produces a crisp and regularized building envelope suitable for fast rendering and optional projective texture mapping. Further, our results show highly complete building models with quality superior to that of other compared-to approaches.\",\"PeriodicalId\":91160,\"journal\":{\"name\":\"Proceedings. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3384382.3384526\",\"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. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3384382.3384526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Progressive Regularization of Satellite-Based 3D Buildings for Interactive Rendering
Automatic creation of lightweight 3D building models from satellite image data enables large and widespread 3D interactive urban rendering. Towards this goal, we present an inverse procedural modeling method to automatically create building envelopes from satellite imagery. Our key observation is that buildings exhibit regular properties. Hence, we can overcome the low-resolution, noisy, and partial building data obtained from satellite by using a two stage inverse procedural modeling technique. Our method takes in point cloud data obtained from multi-view satellite stereo processing and produces a crisp and regularized building envelope suitable for fast rendering and optional projective texture mapping. Further, our results show highly complete building models with quality superior to that of other compared-to approaches.