{"title":"A real-time rendering method based on precomputed hierarchical levels of detail in huge dataset","authors":"Kai Zhou, Feng Tian, Zhong Ren, Hao Guo","doi":"10.1109/ICCSE.2014.6926570","DOIUrl":null,"url":null,"abstract":"Traditional preprocessing methods such as discrete LOD or continuous LOD is inapplicable to large dataset consists of huge amount of models. Division granularity of discrete LOD is coarse while continuous LOD is time-consuming. Real-time rendering is a challenging and open problem to solve. A real-time rendering method to solve preprocessing problem in huge dataset based on pre-computed hierarchical levels of detail is proposed by different granularity and hierarchy division. Experimental result shows that the proposed method is more suitable for huge dataset.","PeriodicalId":275003,"journal":{"name":"2014 9th International Conference on Computer Science & Education","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 9th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2014.6926570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Traditional preprocessing methods such as discrete LOD or continuous LOD is inapplicable to large dataset consists of huge amount of models. Division granularity of discrete LOD is coarse while continuous LOD is time-consuming. Real-time rendering is a challenging and open problem to solve. A real-time rendering method to solve preprocessing problem in huge dataset based on pre-computed hierarchical levels of detail is proposed by different granularity and hierarchy division. Experimental result shows that the proposed method is more suitable for huge dataset.