Image and Distribution Based Volume Rendering for Large Data Sets

Ko Chih Wang, Naeem Shareef, Han Wei Shen

研究成果: 書貢獻/報告類型會議論文篇章

10 引文 斯高帕斯(Scopus)

摘要

Analyzing scientific datasets created from simulations on modern supercomputers is a daunting challenge due to the fast pace at which these datasets continue to grow. Low cost post analysis machines used by scientists to view and analyze these massive datasets are severely limited by their deficiencies in storage bandwidth, capacity, and computational power. Trying to simply move these datasets to these platforms is infeasible. Any approach to view and analyze these datasets on post analysis machines will have to effectively address the inevitable problem of data loss. Image based approaches are well suited for handling very large datasets on low cost platforms. Three challenges with these approaches are how to effectively represent the original data with minimal data loss, analyze the data in regards to transfer function exploration, which is a key analysis tool, and quantify the error from data loss during analysis. We present a novel image based approach using distributions to preserve data integrity. At each view sample, view dependent data is summarized at each pixel with distributions to define a compact proxy for the original dataset. We present this representation along with how to manipulate and render large scale datasets on post analysis machines. We show that our approach is a good trade off between rendering quality and interactive speed and provides uncertainty quantification for the information that is lost.

原文英語
主出版物標題Proceedings - 2018 IEEE Pacific Visualization Symposium, PacificVis 2018
發行者IEEE Computer Society
頁面26-35
頁數10
ISBN(電子)9781538614242
DOIs
出版狀態已發佈 - 2018 五月 25
對外發佈
事件11th IEEE Pacific Visualization Symposium, PacificVis 2018 - Kobe, 日本
持續時間: 2018 四月 102018 四月 13

出版系列

名字IEEE Pacific Visualization Symposium
2018-April
ISSN(列印)2165-8765
ISSN(電子)2165-8773

會議

會議11th IEEE Pacific Visualization Symposium, PacificVis 2018
國家/地區日本
城市Kobe
期間2018/04/102018/04/13

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別
  • 硬體和架構
  • 軟體

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