{"title":"一种用于复杂场景实时渲染的原始点数据预处理方法","authors":"Lei Zhao, Duanqing Xu, Yi Li, Yimin Yu","doi":"10.1109/ICAT.2006.21","DOIUrl":null,"url":null,"abstract":"In order to real-time rendering complex scenes, many algorithms need a multi-resolution representation data structure which can support good rendering performance. In this paper we introduce a novel stream-based (and out-of-core) point preprocessing algorithm which generating multi- resolution hierarchy based on bounding spheres by processing points in an orderly sequential way and sweeping double-plane along a spatial dimension. The major advantages of this novel concept are: (I) our algorithm can be used to in support of other stream operators, (2) generating a multi-resolution model representation, (3) low main-memory usage. This work is supported by the National Grand Fundamental Research 973 Program of China (2002CB312106).","PeriodicalId":133842,"journal":{"name":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Pre-Process Method of Raw Point Data for Real-Time Complex Scenes Rendering\",\"authors\":\"Lei Zhao, Duanqing Xu, Yi Li, Yimin Yu\",\"doi\":\"10.1109/ICAT.2006.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to real-time rendering complex scenes, many algorithms need a multi-resolution representation data structure which can support good rendering performance. In this paper we introduce a novel stream-based (and out-of-core) point preprocessing algorithm which generating multi- resolution hierarchy based on bounding spheres by processing points in an orderly sequential way and sweeping double-plane along a spatial dimension. The major advantages of this novel concept are: (I) our algorithm can be used to in support of other stream operators, (2) generating a multi-resolution model representation, (3) low main-memory usage. This work is supported by the National Grand Fundamental Research 973 Program of China (2002CB312106).\",\"PeriodicalId\":133842,\"journal\":{\"name\":\"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)\",\"volume\":\"173 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAT.2006.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2006.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Pre-Process Method of Raw Point Data for Real-Time Complex Scenes Rendering
In order to real-time rendering complex scenes, many algorithms need a multi-resolution representation data structure which can support good rendering performance. In this paper we introduce a novel stream-based (and out-of-core) point preprocessing algorithm which generating multi- resolution hierarchy based on bounding spheres by processing points in an orderly sequential way and sweeping double-plane along a spatial dimension. The major advantages of this novel concept are: (I) our algorithm can be used to in support of other stream operators, (2) generating a multi-resolution model representation, (3) low main-memory usage. This work is supported by the National Grand Fundamental Research 973 Program of China (2002CB312106).