{"title":"从多视频数据中进行自然现象的体积重建、压缩和渲染","authors":"L. Ahrenberg, Ivo Ihrke, M. Magnor","doi":"10.2312/VG/VG05/083-090","DOIUrl":null,"url":null,"abstract":"Lately, new methods for the acquisition of time-varying, volumetric data for photo-realistic rendering of semi-transparent, volumetric phenomena like fire and smoke have been developed. This paper presents a wavelet-coding and rendering approach for these volumetric sequences that exploits spatial as well as temporal coherence in the data. A space partitioning tree allows for efficient storage and real-time rendering of dynamic, volumetric data on common PC hardware.","PeriodicalId":443333,"journal":{"name":"Fourth International Workshop on Volume Graphics, 2005.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Volumetric reconstruction, compression and rendering of natural phenomena from multi-video data\",\"authors\":\"L. Ahrenberg, Ivo Ihrke, M. Magnor\",\"doi\":\"10.2312/VG/VG05/083-090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lately, new methods for the acquisition of time-varying, volumetric data for photo-realistic rendering of semi-transparent, volumetric phenomena like fire and smoke have been developed. This paper presents a wavelet-coding and rendering approach for these volumetric sequences that exploits spatial as well as temporal coherence in the data. A space partitioning tree allows for efficient storage and real-time rendering of dynamic, volumetric data on common PC hardware.\",\"PeriodicalId\":443333,\"journal\":{\"name\":\"Fourth International Workshop on Volume Graphics, 2005.\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Workshop on Volume Graphics, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2312/VG/VG05/083-090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Workshop on Volume Graphics, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/VG/VG05/083-090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Volumetric reconstruction, compression and rendering of natural phenomena from multi-video data
Lately, new methods for the acquisition of time-varying, volumetric data for photo-realistic rendering of semi-transparent, volumetric phenomena like fire and smoke have been developed. This paper presents a wavelet-coding and rendering approach for these volumetric sequences that exploits spatial as well as temporal coherence in the data. A space partitioning tree allows for efficient storage and real-time rendering of dynamic, volumetric data on common PC hardware.
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