multivariate data visualization based on human vision characteristic

2014 Fiscal Year Final Research Report

• Project/Area Number: 23650043
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Media informatics/Database
• Research Institution: Ochanomizu University (2013-2014); Tokyo Institute of Technology (2011-2012)
• Principal Investigator: SAITO Suguru お茶の水女子大学, 大学院人間文化創成科学研究科, 准教授 (00323832)
• Project Period (FY): 2011-04-28 – 2015-03-31
• Keywords: 影 / データ可視化

Outline of Final Research Achievements

For multivariate data by scientific simulations and measurements, this study proposed new visualization techniques that adopt shadow expressions to overlay data. While developing the techniques, a new fast efficient soft shadow rendering technique was also proposed. It improves cast shadow shape from the previous work we focused, and is applicable to general real time computer graphic applications. Readability evaluation tests were also performed and gave knowledge of several relationship between data readability and expression settings.

Free Research Field

コンピュータグラフィクス