• DocumentCode
    53594
  • Title

    SketchPadN-D: WYDIWYG Sculpting and Editing in High-Dimensional Space

  • Author

    Bing Wang ; Ruchikachorn, Puripant ; Mueller, Klaus

  • Author_Institution
    Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
  • Volume
    19
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    2060
  • Lastpage
    2069
  • Abstract
    High-dimensional data visualization has been attracting much attention. To fully test related software and algorithms, researchers require a diverse pool of data with known and desired features. Test data do not always provide this, or only partially. Here we propose the paradigm WYDIWYGS (What You Draw Is What You Get). Its embodiment, SketchPadND, is a tool that allows users to generate high-dimensional data in the same interface they also use for visualization. This provides for an immersive and direct data generation activity, and furthermore it also enables users to interactively edit and clean existing high-dimensional data from possible artifacts. SketchPadND offers two visualization paradigms, one based on parallel coordinates and the other based on a relatively new framework using an N-D polygon to navigate in high-dimensional space. The first interface allows users to draw arbitrary profiles of probability density functions along each dimension axis and sketch shapes for data density and connections between adjacent dimensions. The second interface embraces the idea of sculpting. Users can carve data at arbitrary orientations and refine them wherever necessary. This guarantees that the data generated is truly high-dimensional. We demonstrate our tool´s usefulness in real data visualization scenarios.
  • Keywords
    data visualisation; user interfaces; N-D polygon; SketchPadN-D; WYDIWYG editing; WYDIWYG sculpting; What You Draw Is What You Get; data cleaning; data density; direct data generation activity; high-dimensional data visualization; immersive data generation activity; interactive data editing; probability density functions; Data visualization; Image color analysis; Shape analysis; Data visualization; Image color analysis; N-D navigation; Shape analysis; Synthetic data generation; data acquisition and management; data editing; high-dimensional data; interaction; multiple views; multivariate data; parallel coordinates; scatterplot; user interface; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Paintings; Reproducibility of Results; Sculpture; Sensitivity and Specificity; Software; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2013.190
  • Filename
    6634118