1. Wellcome to the 60 seconds experience...I’m looking gooooood!

2. daf

5. amcclain

6. Cave Sculpting Translating the essence of cave painting to the rapid prototyping machine. Thesis defense at 9:20 in Lubrano Process overview What worked? Complete models made of the guitarrista What didn’t work? Depth Fields. Many strokes are dropped. Thesis defense at 9:20 in Lubrano Where could this eventually live? Thesis defense at 9:20 in Lubrano andrew mcclain

7. asf

8. Artery Job Jar get 64-bit $G working implement algorithm to compute vortex lines make "particlevis" work in the Cave visualize data differences between 2 data sets

9. cad

10. Robust Visualization Constraints & Useful Graph Drawings

11. cj

12. Graphic designers exhibit similar results as previous users in the computerized TYPE ID task: Can you determine the type of a given critical point (attracting focus, repelling focus, attracting node, repelling node, saddle)? Triangles = non-experts Squares = experts Circles = designers F(2,20)=1.01, p=0.382 F(2,20)=0.766, p=0.478 Main effect of User Group (non-expert, expert, designer):

13. GRIDJITLITOSTRGSTRLIC Accuracy Designers User Study (% correct) 6 75.88 “6” 5 79.13 “1” 3 76.44 “4” 2 76.06 “5” 1 77.06 “2” 4 76.8 “3” Time Designers User Study (ln msec) 6 7.97 “3” 5 8.01 “6” 3 7.99 “5” 2 7.98 “4” 1 7.93 “2” 4 7.86 “1” Graphic designers also critiqued and ranked the visualization methods w.r.t. their ability to accurately and quickly enable a user to perform the TYPE ID task The table shows that these rankings (1=“good”...6=“bad”) are not precise predictors of user performance

14. This lack of a solid correlation between the designer rankings and actual user performance on the TYPE ID task may have several explanations: Lack of any variance on user performance between the 6 visualization methods Designers were forced to rank-order methods that actually do not elicit different user behaviors Designers noticed differences in the methods that were not apparent to the user The TYPE ID task was so simple that it did not force subjects to utilize the full potential of the visualization methods Designers are not good at predicting how well 2D vector visualization methods facilitate users’ understanding of the underlying data Had to put this in for thoroughness, but I do not think this is the case

15. THANK YOU!

16. dfk

18. dbk

19. Designing Icons for Visualizations

20. dturner

21. Polarimetric Interferometry Polarimetric Interferometry

22. dhl

24. hueso

25. Simulation and Visualization of Airflow around Bat Wings Two Videos (stereo)3D Motion Capture DataFlat 3D Geometric Model Modeling CurvatureVisualizing AirflowSimulating Airflow

26. evote

27. Idea #1 We could generate a 3D model of the source stroke by scanning or Computer Vision, then analyze its statistics to derive a new 3D brushstroke model for the resulting strokes. Idea #2 Simulate real paint and brushstroke using Fluid Dynamics…. How to get a real, nice-looking brushstroke?

28. leor

29. Flurry Hurry shrew trabeculae –algorithm visualization vorticity flurries vortex rings… –quantity –Quality in 3D 60 sec. of Leor

30. gem

31. Unidentified Flying Pigeons Mission: Model the band of tissue which straps shoulder bones together: CT scan + mocap decent meshes distance fields constrained/optimized 3D path gem 04/28/03

32. jsobel

33. Everything I Needed to Know About Life I Learned from David Laidlaw Texture everything! Say it with me… POISSON! My beard makes me look Amish 750 Computers can actually address meaningful problems

34. sz

35. Semester review Proposal refinement and implementation –Fiber bundle model, forward modeling, segmentation, model modification Collaboration with CMU/Caltech/Edinburgh. MRM tumor paper

36. Thanks for the munchies Eileen!