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文章基本信息

  • 标题:A Render Data Optimized Organization Strategy Based on Kalman Prediction
  • 本地全文:下载
  • 作者:Hao, Liyun ; Cao, Rui ; Wu, Lingda
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2013
  • 卷号:8
  • 期号:12
  • 页码:3287-3292
  • DOI:10.4304/jcp.8.12.3287-3292
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Large scale scene rendering is essential to Visualization Navigation, and needs optimized organization strategy. Combining Kalman prediction and equal interval organization measure, a render data optimized organization strategy was proposed. Kalman prediction was adopt to estimate scheduling region, which optimizes rendering data organization. Organization data amount is decreased and visualization effect is meliorated.
  • 关键词:kalman prediction;optimized organization;equal interval;OSG Earth
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