Volume Graphics: What’s in the Cards Baoquan Chen Department of Computer Science and Engineering...
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Transcript of Volume Graphics: What’s in the Cards Baoquan Chen Department of Computer Science and Engineering...
Volume Graphics: What’s in the Cards
Baoquan ChenDepartment of Computer Science and
EngineeringUniversity of Minnesota Twin Citieshttp://www.cs.umn.edu/~baoquan
Historical Perspective - 70’s–Early 80’s 1970 First report - 3D oscilloscopic images
1970's Medical imaging
1978 3D surface presentation
[Sunguroff&Greenberg]
1979 Cuberille [Herman & Liu] 1981 Depth only shading [Herman & Udupa] 1982 Octree machine [Meagher] Voxel processor [Goldwasser et al.] 1984 Ray casting [Tuy & Tuy] 1985 Cube-1 architecture [Kaufman et al.] Back-to-front & Front-to-back, Depth gradient shading [Gordon et al.] Contextual shading [Chen et al.]
1986 3D scan conversion [Kaufman &
Shimony]
Grey-level shading [Hoehne &
Bernstein]
1987 Marching cubes [Lorensen & Cline]
NSF ViSC Report
1988 Volume rendering [Levoy; Drebin et
al;
Upson & Keeler;
Sabella]
Dividing Cubes [Cline et al.]
1989 Splatting [Westover]
Historical Perspective - Late 80’s
1989, 1990 – 04 Biannual VolVis
Symposia
1990 – 05 Visualization Conference
1995 – 05 Information Visualization
Symposia
1996 ONR Volume Graphics
Workshop
1999,01,03,05 Volume Graphics
Workshops
2004 NIH/NSF VRC’04
Historical Perspective- The 90’s-00’s
A Summary of the Status
• Lots of papers
• Volume visualization a commodity
• Some commercial visualization systems
• Cheers!
A Few Points to Ponder
1. Design of Volume Visualization −Exploration vs. Presentation? Avoid
3D!
[Bordoloi & Shen, Vis 2005]
A Few Points to Ponder
1. Design of Volume Visualization −Exploration vs. Presentation? Avoid
3D!−Simple, Concise, Clear
Illustrators are paid to remove visual information – Patrick Lynch
Clutter and Confusion are failures of design, not attributes of information – Edward Tufte
A Few Points to Ponder
1. Design of Volume Visualization −Exploration vs. Presentation? Avoid
3D!−Simple, Concise, Clear −Small or large data
High Dynamic Range Volume Rendering [Yuan, Nguyen & Chen, Vis 05]
2048^3 homogenous decaying compressible fluid turbulence
A Few Points to Ponder
1. Design of Volume Visualization −Exploration vs. Presentation? Avoid
3D!−Simple, Concise, Clear −Small or large data −Visualization vs. InfoVis or Data
mining or other data analysis
A Few Points to Ponder
2. Human-Visualization Interface −Virtual vs. Real/physical metaphor −3D vs. 2D
A Few Points to Ponder
3. Evaluation of Volume Visualization −Benchmarks
(datasets, tasks, use case)−Based on perception and cognitive science −Demonstrated utility−Usability
−Range of devices and network speed−Visual impairments−Range of cognitive skills−Novice users, etc.
−Measuring insight/knowledge gained −Excellent discussions in [van Wijk, Vis 05]