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

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

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Wellcome to the 60 seconds experience ...I’m looking gooooood!. daf. amcclain. Cave Sculpting. andrew mcclain. Translating the essence of cave painting to the rapid prototyping machine. Thesis defense at 9:20 in Lubrano Process overview What worked? - PowerPoint PPT Presentation

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

Wellcome to the60 seconds experience60 seconds experience...I’m looking gooooood!...I’m looking gooooood!

Page 2: Wellcome to the 60 seconds experience ...I’m looking gooooood!

daf

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amcclain

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Cave Sculpting 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

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asf

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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

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cad

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Robust Visualization Constraints &

Useful Graph Drawings

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cj

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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=0.382F(2,20)=0.766, p=0.478Main effect of User Group (non-expert, expert, designer):

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GRID JIT LIT OSTR GSTR LIC

AccuracyDesignersUser Study(% correct)

675.88“6”

579.13“1”

376.44“4”

276.06“5”

177.06“2”

476.8“3”

TimeDesignersUser Study(ln msec)

67.97“3”

58.01“6”

37.99“5”

27.98“4”

17.93“2”

47.86“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

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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

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THANK YOU!

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dfk

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dbk

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Designing Icons for Visualizations

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dturner

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Polarimetric InterferometryPolarimetric Interferometry

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dhl

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hueso

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Simulation and Visualization of Airflow around Bat Wings

Two Videos (stereo) 3D Motion Capture Data Flat 3D Geometric Model

Modeling Curvature Visualizing AirflowSimulating Airflow

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evote

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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 #2Simulate real paint and brushstroke using Fluid Dynamics….

How to get a real, nice-looking brushstroke?

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leor

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Flurry Hurry• shrew

trabeculae– algorithm

visualization• vorticity

flurries

• vortex rings…– quantity– Quality in 3D

60 sec. of Leor

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gem

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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

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jsobel

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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

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sz

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Semester review

• Proposal refinement and implementation– Fiber bundle model, forward modeling,

segmentation, model modification• Collaboration with

CMU/Caltech/Edinburgh. MRM tumor paper

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Thanks for the munchies Eileen!Thanks for the munchies Eileen!