[PDF] - Overview Scientific Visualization 4 What is SciVis? Melanie Tory 4 PDF Document

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Scientific Visualization

Melanie Tory

Acknowledgments: Torsten Möller (Simon Fraser University) Raghu Machiraju (Ohio State University) Klaus Mueller (SUNY Stony Brook)

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Overview

4 What is SciVis? 4 Data & Applications 4 Iso-surfaces 4 Direct Volume Rendering 4 Vector Visualization 4 Challenges

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Difference between SciVis and InfoVis

Direct Volume Rendering Streamlines Line Integral Convolution Glyphs Isosurfaces

SciVis

Scatter Plots Parallel Coordinates Node-link Diagrams

InfoVis

[Verma et al., Vis 2000] [Hauser et al., Vis 2000] [Cabral & Leedom, SIGGRAPH 1993] [Fua et al., Vis 1999] [http://www.axon.com/ gn_Acuity.html] [Lamping et al., CHI 1995]

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Difference between SciVis and InfoVis

4 Card, Mackinlay, & Shneiderman: – SciVis: Scientific, physically based – InfoVis: Abstract 4 Munzner: – SciVis: Spatial layout given – InfoVis: Spatial layout chosen 4 Tory & Möller: – SciVis: Spatial layout given + Continuous – InfoVis: Spatial layout chosen + Discrete – Everything else -- ?

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Overview

4 What is SciVis? 4 Data & Applications 4 Iso-surfaces 4 Direct Volume Rendering 4 Vector Visualization 4 Challenges

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Medical Scanning

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Medical Scanning - Applications

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Medical Scanning - Applications

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Scientific Computation - Apps

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Overview

4 What is SciVis? 4 Data & Applications 4 Iso-surfaces 4 Direct Volume Rendering 4 Vector Visualization 4 Challenges

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Isosurfaces - Examples

Isolines Isosurfaces

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Overview

4 What is SciVis? 4 Data & Applications 4 Iso-surfaces 4 Direct Volume Rendering 4 Vector Visualization 4 Challenges

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Direct Volume Rendering Examples

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Overview

4 What is SciVis? 4 Data & Applications 4 Iso-surfaces 4 Direct Volume Rendering 4 Vector Visualization 4 Challenges

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Overview

4 What is SciVis? 4 Data & Applications 4 Iso-surfaces 4 Direct Volume Rendering 4 Vector Visualization 4 Challenges

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Challenges - Accuracy

4 Need metrics -> perceptual metric

(a) Original (b) Bias-Added (c) Edge-Distorted

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Challenges - Accuracy

4 Deal with unreliable data (noise, Ultrasound)

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Challenges - Accuracy

4 Irregular data sets

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Challenges - Speed/Size

4 Efficient algorithms 4 Hardware developments (VolumePro) 4 Utilize current hardware (nVidia, ATI) 4 Compression schemes 4 Tera-byte data sets