1 / 11

Simplifying 3D Graphics: Interactive Visualization Made Easy

This presentation discusses the automation of 3D graphics visualization, aiming to make it as simple as creating static 2D graphs. No installations or complex graphics programming are needed; straightforward formats like CSV are sufficient. Users can upload data, receive streamlined output in VRML or similar formats, and instantly visualize their datasets, even with 100,000 points. The prototype utilizes Partiview and MATLAB to facilitate fast, interactive graphics. Key questions about usability and flexibility of such services are explored.

barrett-horn
Télécharger la présentation

Simplifying 3D Graphics: Interactive Visualization Made Easy

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Automating Visualization Dinoj Surendran dinoj@cs.uchicago.edu http://people.cs.uchicago.edu/~dinoj KICP Viz 2005

  2. What do we mean? • Making interactive 3d graphics should be as easy to do as making static 2d graphs • Nothing to install • No graphics programming • No funny formats (straightforward formats ok?) • Does not have to deal with large datasets - 100 000 points ok KICP Viz 2005

  3. What do we mean? • Does not have to be optimal - just has to be ‘good enough’ • Ideally, web interface • Get your data in text files (csv, etc) • Upload data • Get a drink • Get a zip file (or vrml? X3d?) • Unzip zip file • Click (prayer not required) KICP Viz 2005

  4. Examples already out there • Large Graph Layout : Adai et al, 2004 • Bioinformatics • Provide nodes + edges  returns VRML • Holodraw : Simkin, 2001-5 • Provide set of points, etc  returns VRML • Not online yet, would be easy to make it so • Vermalizer : SubbaRao & SubbaRao, 2004 • Give points, get VRML (applied to SDSS queries) KICP Viz 2005

  5. Questions • Why aren’t more of these services available? • Are these services of any use at all? • Would anyone use them if they were available? KICP Viz 2005

  6. More Questions • What kinds of inputs would these services handle? • Do the visualization techniques required to support these services exist? • How do you trade-off flexibility vs usability? KICP Viz 2005

  7. Prototype: Ndaona • Experiment in creating Partiview files in Matlab • positions + glyphs + edges  scatterplots+graphs • Why Partiview? • Fast, interactive • To stop people in my department bugging me to make them pretty pictures • Why Matlab? • Standard package in my research community • Great for prototyping KICP Viz 2005

  8. What is Partiview? http://niri.ncsa.uiuc.edu/partiview Stuart Levy (2001): "Interactive 3-D visualization of particle systems with Partiview” Proc. IAU. (Vol 208) Symposium on "Astrophysical Supercomputing Using Particles". KICP Viz 2005

  9. Ndaona demo • Examples • Handwritten Digits • Putonghua Tones • Stanford Biomotion Lab • World Networks KICP Viz 2005

  10. Conclusion & Outlook • Is this a waste of time? • What formats are required? • Who should host this? • GUI : programmable? (hello, Toshi…) KICP Viz 2005

  11. Thanks! • Stuart Levy • Randy Landsberg • Mark SubbaRao • Gina-Anne Levow KICP Viz 2005

More Related