Difference between revisions of "SciVisFall2007/Schedule"

Latest revision as of 22:55, 4 December 2007

8/21: Introduction to visualization

Lecturer: Claudio

Topics: Scientific Visualization

Animations: explosion_640x480-5.mov, fig7.mov, fig8.mov, fig9.mov, SevereTstorm.mov

Further reading:

Visualizing Spatial and Temporal Variability in Coastal Observatories, W. Herrera-Jimenez, W. Correa, C. Silva, and A. Baptista, IEEE Visualization 2003.

8/23: The visualization pipeline

Lecturer: Claudio

Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.

Notes: lec02-notes.pdf

Slides: lec02.pdf

VisTrails: During this class, we built a pipeline equivalent to the cone.tcl (see class slides). Here is the vistrails file: cone.vt

Further reading:

Provenance for Visualizations: Reproducibility and Beyond, C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, to appear.

8/28: Modeling Data for Visualization

Lecturer: Carlos

Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields

Notes: TBA

Slides: .ppt file

Further reading:

There is no required reading for this lecture. The notes will be available shortly. The following papers are there for people that are looking to get more advanced material that will not be covered in class.

Interpolation

Geodesic-loxodromes... This is the fancy interpolation for diffusion tensors I mentioned in class.

Bernstein polynomials These are the polynomials used for cubic Bezier curves that I mentioned in class.

Separability

Extensions of the Zwart-Powell Box spline... This is a recent paper that shows a class of trivariate reconstruction techniques that are not separable.

Tensors

Visualization and Analysis of Diffusion Tensor Fields Gordon Kindlmann's PhD. thesis, with everything you ever wanted to know about DTI. Section 2.1 has a good primer in tensor algebra.

8/30: Modeling Data for Visualization

Lecturer: Carlos

Topics: Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms

Notes: .pdf file. If you want to print these, you might want to wait for a week or two, until I finish polishing them.

Slides: .ppt file These slides include simplificatin algorithms, which I'll talk about next week.

9/4: Elementary Plotting Techniques

Lecturer: Steve

Topics: Principles of Graph Construction

Notes: PlottingNotes.pdf

Slides: Plotting1.pdf

Vistrails: See next lecture.

Further Reading: There is no required reading for this lecture. For those interested in more depth, the following books are very useful:

The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.
Visualizing Data. William S. Cleveland, Hobart Press, 1993.
The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.
Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.

9/6: Elementary Plotting Techniques

Lecturer: Steve

Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.

Notes: PlottingNotes.pdf

Slides: Plotting2.pdf

Vistrails: PlottingVistrails.zip - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). If you don't have permission to write to this directory (CADE users), then unzip the file where you want. Just be aware that in this case the paths for the data files may not be correct for most vistrails and will need to be fixed before they will execute properly.

Further Reading: There is no required reading for this lecture. Some articles of interest:

9/11: Color and Human Perception

Lecturer: Claudio

Topics: Human vision system; Optical illusions

Notes: TBA

Slides: human-vision.pdf

Links:

http://en.wikipedia.org/wiki/Eye

http://www.grand-illusions.com/gregory2.htm (also, see the related book: [1])

http://en.wikipedia.org/wiki/Purkinje_effect

http://www.handprint.com/HP/WCL/color2.html

9/13: Color and Human Perception

Lecturer: Claudio

Topics: Color Science; Color spaces; Color Blindness; Color maps; Tone mapping

Notes: TBA

Slides: colorvision.pdf

Links:

Further reading:

How Not to Lie with Visualization

http://en.wikipedia.org/wiki/Opponent_process

http://en.wikipedia.org/wiki/Color_models

http://en.wikipedia.org/wiki/Absolute_color_space

http://en.wikipedia.org/wiki/Additive_color

http://en.wikipedia.org/wiki/Subtractive_color

http://en.wikipedia.org/wiki/RGB_color_model

http://en.wikipedia.org/wiki/SRGB_color_space

http://en.wikipedia.org/wiki/CIE_XYZ_color_space

9/18 (a): Color and Human Perception

Lecturer: Claudio

Same material as previous lecture.

9/18 (b): 2D Visualization Techniques

Lecturer: Carlos

Topics: 2-D contours, marching quads, marching tris; Color mapping; height fields; NPR

Slides: pdf file

Notes: pdf file

Vistrails: zip file with ozone.vt and data asymptotic decider in 2d heightfields

Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:

import os
os.chdir("c:/directory/where/you/unzipped/it")

This will change the directory so you should be able to just run the pipelines.

9/20: Math refresher

Lecturer: Carlos

Topics: Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem)

9/25: 2D Visualization Techniques

Lecturer: Carlos

Topics: 2-D vector fields, div, grad, curl in 2D; Steady vs Unsteady flows; Glyphs; 2-D streamlines, streaklines, pathlines

Slides: pdf file

Notes: coming soon

Vistrails: vistrail with steady vector field vis and data vistrail with unsteady vector field vis and data Note: Because VTK does not support time-varying datasets directly, we had to create a reasonably ugly hack to simulate unsteady fields. This means the datasets are quite big (80MB in total).

9/27 (a): 2D Visualization Techniques

Lecturer Carlos

Same material as last lecture.

9/27 (b): Volume Vis

Lecturer: Claudio

Topics: Slicing; Contours; Marching algorithms

Slides: iso-basic.pdf

References:

Marching cubes: A high resolution 3D surface construction algorithm

The asymptotic decider: resolving the ambiguity in marching cubes

10/2: Volume Vis

Lecturer: Claudio

Topics: Accelerating structures; High-quality contours

Slides:

iso-speed.pdf

iso-speed-2.pdf

References:

A Near Optimal Isosurface Extraction Algorithm Using the Span Space

Automatic Isosurface Propagation Using an Extrema Graph and Sorted Boundary Cell Lists

Speeding Up Isosurface Extraction Using Interval Trees

Implicit Occluders

10/4: Volume Vis

Lecturer: Claudio

Topics: High quality isosurfaces

Slides: iso-quality.pdf

References:

Edge Transformations for Improving Mesh Quality of Marching Cubes

High-Quality Extraction of Isosurfaces from Regular and Irregular Grids

Dual contouring of hermite data

Topology, Accuracy, and Quality of Isosurface Meshes Using Dynamic Particles

Material interface reconstruction

10/9: Fall break

10/11: Fall break

10/16: Volume Vis

Lecturer: Claudio

Topics: continued from last class

10/18: Direct Volume Rendering

Lecturer: Steve

Topics: Introduction to volume rendering

Slides: VolumeRendering1.pdf

Notes: dvr.pdf

vistrails: VolumeRenderingVistrails.zip

References: Optical Models for Direct Volume Rendering

10/23: Midterm 1

10/25: Direct Volume Rendering

Lecturer: Steve

Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp

Slides: VolumeRendering2.pdf

Notes: same as previous class

vistrails: same as previous class

References:

Display of Surfaces from Volume Data - Ray casting paper

Interactive Volume Rendering - Splatting paper, paper requires ACM digital library access

Accelerated volume rendering and tomographic reconstruction using texture mapping hardware - Texture slicing paper, requires ACM digital library access

Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation - Shear-warp paper

10/30: Cosmology and EEG analysis

Guest lecture: Erik Anderson

Topics: Applications of Visualization Techniques, Multi-modal Visualization

Slides: VisualizationApplications ppt | odp

VisTrail: Contact me here

References:

Working Memory in Schizophrenia - Overview of rTMS in EEG Analysis

Cosmology Code Comparison Project - Cosmological Simulation Project

11/1: Simplification Techniques

Guest lecture: Yuan Zhou

Topics: Simplification techniques: vertex clustering, vertex decimation, iterative contraction, quadric error based surface and tetrahedral simplification

Slides: Simplification

References:

Surface Simplification Using Quadric Error Metrics

Multiresolution Modeling : Survey & Future Opportunities

Quadric-Based Simplication in Any Dimension

Streaming Simplification of Tetrahedral Meshes

11/6: Direct Volume Rendering

Lecturer: Claudio

Topics: Unstructured grid techniques

Slides: unstructured_grid_rendering.pdf

References:

A Survey of GPU-Based Volume Rendering of Unstructured Grid

Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)

ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)

11/8: Direct Volume Rendering

Lecturer: Claudio

Topics: Transfer function specification

Slides: transfer_functions.pdf

References:

The transfer function bake-off

The contour spectrum

Multidimensional transfer functions for interactive volume rendering

Semi-automatic generation of transfer functions for direct volumerendering

11/13: Tensor Visualization

Lecturer: Carlos

Topics: DT/MRI intro, glyphs, colormapping, volume rendering

Slides: .html slideshow

References: G. Kindlmann's PhD thesis, covering most of what we've seen in the slides.

11/15: 3D Vector Vis and Topology

Lecturer: Carlos

Topics: 3D techniques, critical points

Slides: 3D vector vis, .pdf file Vector field topology, .pdf file

11/20: Information Visualization

Lecturer: Carlos

Topics: Parallel coordinates; Graph visualization

Slides: .pdf file

11/22: Thanksgiving

11/27: Information Visualization

Lecturer: Carlos and Steve

Topics: Trees and Graphs; InfoVis Examples

Links:

11/29: Aesthetic Issues in Vis

Lecturer: Steve

Topics: Tufte principles

Slides: Tufte.pdf

References:

Envisioning Information, Edward R. Tufte, Academic Press, 1990
Visual Explanations: Images and Quantities, Evidence and Narrative, Edward R. Tufte, Academic Press, 1997

12/4: Aesthetic Issues in Vis

Lecturer: Steve

Topics: NPR and Illustrative techniques for Vis

Slides: illustrative.html

vistrails: illustrative.zip includes DifferentialGeometry.vt as well as norm.120.vtk and angle.120.vtk volume datasets.

References:

Curvature-based Transfer Functions, Gordon Kindlmann.
SIGGRAPH 99 NPR course notes, Bruce and Amy Gooch.
Vis 07 Illustrative Vis course notes, Viola, Bruckner, Sousa, Ebert, and Correa.
SIGGRAPH 05 Line Drawings course notes, Rusinkiewicz, DeCarlo, and Finkelstein.

12/6: Misc

Lecturer: Claudio

Topics: Data Management for Vis, Vis for presentation/discovery

12/10: Final Exam

TBA

@@ Line 5: / Line 5: @@
 Topics:  Scientific Visualization
-Notes: TBA
+Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]
 Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01.pdf lec01.pdf]
@@ Line 15: / Line 15: @@
 [http://www.sci.utah.edu/~csilva/papers/vis2003.pdf Visualizing Spatial and Temporal Variability in Coastal Observatories], W. Herrera-Jimenez, W. Correa, C. Silva, and A. Baptista, IEEE Visualization 2003.
+== 8/23: The visualization pipeline ==
+Lecturer: Claudio
+Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.
+Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02.pdf lec02.pdf]
+VisTrails: During this class, we built a pipeline equivalent to the cone.tcl (see class slides). Here is the vistrails file: [http://www.cs.utah.edu/~csilva/courses/cs5630/cone.vt cone.vt]
+Further reading:
+[http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, to appear.
+== 8/28:  Modeling Data for Visualization ==
+Lecturer: Carlos
+Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields
+Notes: TBA
+Slides: [http://www.sci.utah.edu/~cscheid/scivis_fall07/modelling_1.ppt .ppt file]
+Further reading:
+There is no required reading for this lecture. The notes will be available shortly. The following papers are there for people that are looking to get more advanced material that will not be covered in class.
+=== Interpolation ===
+[http://lmi.bwh.harvard.edu/papers/papers/geodesic-loxodromes-final.html Geodesic-loxodromes...] This is the fancy interpolation for diffusion tensors I mentioned in class.
+[http://en.wikipedia.org/wiki/Bernstein_polynomial Bernstein polynomials] These are the polynomials used for cubic Bezier curves that I mentioned in class.
+==== Separability ====
+[http://portal.acm.org/citation.cfm?id=1187793 Extensions of the Zwart-Powell Box spline...] This is a recent paper that shows a class of trivariate reconstruction techniques that are ''not'' separable.
+==== Tensors ====
+[http://www.cs.utah.edu/research/techreports/2004/pdf/UUCS-04-014.pdf Visualization and Analysis of Diffusion Tensor Fields] Gordon Kindlmann's PhD. thesis, with everything you ever wanted to know about DTI. Section 2.1 has a good primer in tensor algebra.
+== 8/30:  Modeling Data for Visualization ==
+Lecturer: Carlos
+Topics: Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms
+Notes: [http://www.sci.utah.edu/~cscheid/scivis_fall07/week2.pdf .pdf file]. If you want to print these, you might want to wait for a week or two, until I finish polishing them.
+Slides: [http://www.sci.utah.edu/~cscheid/scivis_fall07/processing.ppt .ppt file] ''These slides include simplificatin algorithms, which I'll talk about next week.''
+== 9/4: Elementary Plotting Techniques ==
+Lecturer: Steve
+Topics: Principles of Graph Construction
+Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]
+Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf]
+Vistrails:  See next lecture.
+Further Reading:  There is no required reading for this lecture.  For those interested in more depth, the following books are very useful:
+* The Elements of Graphing Data.  William S. Cleveland, Hobart Press, 2nd Edition, 1994.
+* Visualizing Data.  William S. Cleveland, Hobart Press, 1993.
+* The Visual Display of Quantitative Information.  Edward R. Tufte, Graphics Press, 2001.
+* Visual Explanations: Images and Quantities, Evidence and Narrative.  Edward R. Tufte, Graphics Press, 2997.
+==  9/6:  Elementary Plotting Techniques ==
+Lecturer: Steve
+Topics:  Simple Plotting Methods:  Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others.  Advanced Plotting Methods:  Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.
+Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]
+Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting2.pdf Plotting2.pdf]
+Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory).  If you don't have permission to write to this directory (CADE users), then unzip the file where you want.  Just be aware that in this case the paths for the data files may not be correct for most vistrails and will need to be fixed before they will execute properly.
+Further Reading:  There is no required reading for this lecture. Some articles of interest:
+* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]
+* [http://en.wikipedia.org/wiki/Correlation Correlation]
+* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]
+* [http://en.wikipedia.org/wiki/Box_plot Box Plots]
+== 9/11: Color and Human Perception ==
+Lecturer: Claudio
+Topics: Human vision system; Optical illusions
+Notes: TBA
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf]
+Links:
+http://en.wikipedia.org/wiki/Eye
+http://www.grand-illusions.com/gregory2.htm (also, see the related book: [http://www.amazon.com/Eye-Brain-Richard-L-Gregory/dp/0691048371])
+http://en.wikipedia.org/wiki/Purkinje_effect
+http://www.handprint.com/HP/WCL/color2.html
+== 9/13: Color and Human Perception ==
+Lecturer: Claudio
+Topics:  Color Science; Color spaces; Color Blindness; Color maps; Tone mapping
+Notes: TBA
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision.pdf colorvision.pdf]
+Links:
+Further reading:
+[http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How Not to Lie with Visualization]
+http://en.wikipedia.org/wiki/Opponent_process
+http://en.wikipedia.org/wiki/Color_models
+http://en.wikipedia.org/wiki/Absolute_color_space
+http://en.wikipedia.org/wiki/Additive_color
+http://en.wikipedia.org/wiki/Subtractive_color
+http://en.wikipedia.org/wiki/RGB_color_model
+http://en.wikipedia.org/wiki/SRGB_color_space
+http://en.wikipedia.org/wiki/CIE_XYZ_color_space
+== 9/18 (a): Color and Human Perception ==
+Lecturer: Claudio
+Same material as previous lecture.
+== 9/18 (b):  2D Visualization Techniques ==
+Lecturer: Carlos
+Topics: 2-D contours, marching quads, marching tris; Color mapping; height fields; NPR
+Slides: [http://www.sci.utah.edu/~cscheid/scivis_fall07/2d_scalar_vis.pdf pdf file]
+Notes: [http://www.sci.utah.edu/~cscheid/scivis_fall07/2d_scalar_vis_notes.pdf pdf file]
+Vistrails: [http://www.sci.utah.edu/~cscheid/scivis_fall07/ozone_and_data.zip zip file with ozone.vt and data] [http://www.sci.utah.edu/~cscheid/scivis_fall07/asymptotic_decider.vt asymptotic decider in 2d] [http://www.sci.utah.edu/~cscheid/scivis_fall07/elevation.zip heightfields]
+Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:
+ import os
+ os.chdir("c:/directory/where/you/unzipped/it")
+This will change the directory so you should be able to just run the pipelines.
+== 9/20: Math refresher ==
+Lecturer: Carlos
+Topics: Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem)
+== 9/25:  2D Visualization Techniques ==
+Lecturer: Carlos
+Topics: 2-D vector fields, div, grad, curl in 2D; Steady vs Unsteady flows; Glyphs; 2-D streamlines, streaklines, pathlines
+Slides: [http://www.sci.utah.edu/~cscheid/scivis_fall07/2d_vector_vis.pdf pdf file]
+Notes: coming soon
+Vistrails: [http://www.sci.utah.edu/~cscheid/scivis_fall07/vector_vis_1.zip vistrail with steady vector field vis and data] [http://www.sci.utah.edu/~cscheid/scivis_fall07/unsteady.zip vistrail with unsteady vector field vis and data] '''Note:''' Because VTK does not support time-varying datasets directly, we had to create a reasonably ugly hack to simulate unsteady fields. This means the datasets are quite big (80MB in total).
+== 9/27 (a): 2D Visualization Techniques ==
+Lecturer Carlos
+Same material as last lecture.
+== 9/27 (b): Volume Vis ==
+Lecturer: Claudio
+Topics: Slicing; Contours; Marching algorithms
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/iso-basic.pdf iso-basic.pdf]
+References:
+[http://portal.acm.org/citation.cfm?id=37401.37422 Marching cubes: A high resolution 3D surface construction algorithm]
+[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=175782  The asymptotic decider: resolving the ambiguity in marching cubes]
+== 10/2: Volume Vis ==
+Lecturer: Claudio
+Topics: Accelerating structures; High-quality contours
+Slides:
+[http://www.cs.utah.edu/~csilva/courses/cs5630/iso-speed.pdf iso-speed.pdf]
+[http://www.cs.utah.edu/~csilva/courses/cs5630/iso-speed-2.pdf iso-speed-2.pdf]
+References:
+[http://doi.ieeecomputersociety.org/10.1109/2945.489388 A Near Optimal Isosurface Extraction Algorithm Using the Span Space]
+[http://doi.ieeecomputersociety.org/10.1109/2945.485619 Automatic Isosurface Propagation Using an Extrema Graph and Sorted Boundary Cell Lists]
+[http://doi.ieeecomputersociety.org/10.1109/2945.597798  Speeding Up Isosurface Extraction Using Interval Trees]
+[http://doi.ieeecomputersociety.org/10.1109/SVVG.2004.5   Implicit Occluders]
+== 10/4: Volume Vis ==
+Lecturer: Claudio
+Topics: High quality isosurfaces
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/iso-quality.pdf iso-quality.pdf]
+References:
+[http://www.cs.utah.edu/~csilva/2007-sub/macet.pdf Edge Transformations for Improving Mesh Quality of Marching Cubes]
+[http://www.sci.utah.edu/~csilva/papers/tvcg2006acr.pdf High-Quality Extraction of Isosurfaces from Regular and Irregular Grids]
+[http://portal.acm.org/citation.cfm?id=566570.566586 Dual contouring of hermite data]
+[http://www.sci.utah.edu/%7Emiriah/research/meshing/vis07meyer.pdf Topology, Accuracy, and Quality of Isosurface Meshes Using Dynamic Particles]
+[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1260744 Material interface reconstruction]
+== 10/9: Fall break ==
+== 10/11: Fall break ==
+== 10/16: Volume Vis ==
+Lecturer: Claudio
+Topics: continued from last class
+== 10/18: Direct Volume Rendering ==
+Lecturer: Steve
+Topics: Introduction to volume rendering
+Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering1.pdf VolumeRendering1.pdf]
+Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/dvr.pdf dvr.pdf]
+vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRenderingVistrails.zip VolumeRenderingVistrails.zip]
+References:
+[http://www.llnl.gov/graphics/docs/OpticalModelsLong.pdf Optical Models for Direct Volume Rendering]
+== 10/23: Midterm 1 ==
+== 10/25: Direct Volume Rendering ==
+Lecturer: Steve
+Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp
+Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering2.pdf VolumeRendering2.pdf]
+Notes: same as previous class
+vistrails: same as previous class
+References:
+[http://graphics.stanford.edu/papers/volume-cga88/ Display of Surfaces from Volume Data] - Ray casting paper
+[http://portal.acm.org/citation.cfm?id=329138 Interactive Volume Rendering] - Splatting paper, paper requires ACM digital library access
+[http://portal.acm.org/citation.cfm?id=197972&dl=ACM&coll=GUIDE Accelerated volume rendering and tomographic reconstruction using texture mapping hardware] - Texture slicing paper, requires ACM digital library access
+[http://graphics.stanford.edu/papers/shear/ Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation] - Shear-warp paper
+== 10/30: Cosmology and EEG analysis ==
+Guest lecture: Erik Anderson
+Topics:  Applications of Visualization Techniques, Multi-modal Visualization
+Slides:  VisualizationApplications [http://www.sci.utah.edu/~eranders/talk/scivis_applications/applications.ppt ppt] | [http://www.sci.utah.edu/~eranders/talk/scivis_applications/applications.odp odp]
+VisTrail:  Contact me [http://www.sci.utah.edu/~eranders here]
+References:
+[http://www.sci.utah.edu/~eranders/papers/embs2007_neuro.pdf Working Memory in Schizophrenia] - Overview of rTMS in EEG Analysis
+[http://arxiv.org/abs/0706.1270 Cosmology Code Comparison Project] - Cosmological Simulation Project
+== 11/1: Simplification Techniques ==
+Guest lecture: Yuan Zhou
+Topics: Simplification techniques: vertex clustering, vertex decimation, iterative contraction, quadric error based surface and tetrahedral simplification
+Slides: [http://graphics.cs.uiuc.edu/~yuanzhou/class/SciVis2007_simplification Simplification]
+References:
+[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]
+[http://graphics.cs.uiuc.edu/~garland/papers/STAR99 Multiresolution Modeling : Survey & Future Opportunities]
+[http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450 Quadric-Based Simplication in Any Dimension]
+[http://www.sci.utah.edu/~csilva/papers/tvcg2007cr Streaming Simplification of Tetrahedral Meshes]
+== 11/6: Direct Volume Rendering ==
+Lecturer: Claudio
+Topics:  Unstructured grid techniques
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/unstructured_grid_rendering.pdf   unstructured_grid_rendering.pdf]
+References:
+[http://www.sci.utah.edu/~csilva/papers/rita2005.pdf  A Survey of GPU-Based Volume Rendering of Unstructured Grid]
+[http://www.sci.utah.edu/~csilva/papers/tvcg2005cr.pdf Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)
+[http://www.sci.utah.edu/~csilva/papers/volvis2000.pdf ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)
+== 11/8: Direct Volume Rendering ==
+Lecturer: Claudio
+Topics:  Transfer function specification
+Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/transfer_functions.pdf transfer_functions.pdf]
+References:
+[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=920623 The transfer function bake-off]
+[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=663875  The contour spectrum]
-/23: The visualization pipeline (Claudio)
+[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1021579  Multidimensional transfer functions for interactive volume rendering]
-- Procedural vs. Dataflow programming
-- Using Dataflow for the Vis Pipeline
-- Dataflow programming with VTK
-- Dataflow programming with VisTrails
-- python
-/28:  Modeling Data for Visualization (Carlos)
+[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=729588  Semi-automatic generation of transfer functions for direct volumerendering]
-Basics:
-Discrete vs continous data
-Sampling and interpolation
-Point vs triangulated data
-Meshing data types
-Regular vs irregular data
-Tabular data
-vector and tensor fields
-/30:  Modeling Data for Visualization (Carlos)
+== 11/13: Tensor Visualization ==
-Geometry Processing:
--Reconstruction and meshing
--Simplification
--Smoothing
--Other Filtering algorithms?
+Lecturer: Carlos
-/4: Elementary Plotting Techniques (Steve)
+Topics: DT/MRI intro, glyphs, colormapping, volume rendering
-- Principles of Graph Construction (Cleveland)
-Single Variable:
-- Linear regression (least-squares)
-- Linear, Log-plots, Log-Log plots
-- Bar charts
-- Pie charts
-- Polar plots
+Slides:  [http://www.sci.utah.edu/~cscheid/scivis_fall07/dti.html .html slideshow]
-/6:  Elementary Plotting Techniques (Steve)
+References: [http://www.cs.utah.edu/research/techreports/2004/pdf/UUCS-04-014.pdf G. Kindlmann's PhD thesis], covering most of what we've seen in the slides.
-Multivariable and multimodal:
-- Histograms
-- Autocorrelation plots
-- Scatter plots
-- Tukey-bars (uncertainty)
+== 11/15: 3D Vector Vis and Topology ==
-/11: Color and Human Perception (Claudio)
+Lecturer: Carlos
-Human vision system
-optical illusions?
-/13: Color and Human Perception (Claudio)
+Topics: 3D techniques, critical points
-Color Science
-- Color spaces
-- Color Blindness
-- Color maps
-- Tone mapping
-How Not to Lie with Visualization.  B. Rogowitz and
-L. Treinish. Computers in Physics, 10, n.3, pp. 268-274, May/June
-.
-A Rule-based Tool for Assisting Colormap Selection.  L. Bergman,
+Slides: [http://www.sci.utah.edu/~cscheid/scivis_fall07/3dvectorvis.pdf 3D vector vis, .pdf file] [http://www.sci.utah.edu/~cscheid/scivis_fall07/vftopology.pdf Vector field topology, .pdf file]
-B. Rogowitz and L. Treinish.  Proceedings of the IEEE Computer
- Society Visualization '95, pp. 118-125, October 1995.
+== 11/20: Information Visualization ==
-/18:  2D Visualization Techniques (Carlos)
+Lecturer: Carlos
--D contours - marching quads, marching tris
-Color mapping -
-height fields
-NPR
-/20:  2D Visualization Techniques (Carlos)
+Topics: Parallel coordinates; Graph visualization
--D vector fields - div, grad, curl in 2D
-Steady vs Unsteady flows
-Glyphs
--D streamlines
--D streaklines
+Slides: [http://www.sci.utah.edu/~cscheid/scivis_fall07/Infovis.pdf .pdf file]
-/25: Volume Vis (Claudio)
+== 11/22: Thanksgiving ==
-Slicing
-Contours
-Marching algorithms
-/27: Volume Vis (Claudio)
+== 11/27: Information Visualization ==
-Accelerating structures
-High-quality contours
-/2: Volume Vis (Steve)
+Lecturer: Carlos and Steve
-Direct volume rendering
-optical models
-Ray casting
-Texture-based
-Acceleration structures
-/4: Volume Vis (Steve)
+Topics:  Trees and Graphs; InfoVis Examples
-unstructured techniques
-ray casting
-pt
-zsweep, havs
-/9: fall break
+Links:
-/11: fall break
+* [http://www.many-eyes.com Many Eyes]
+* [http://www.win.tue.nl/sequoiaview/ SequioaView]
+* [http://www.gg.caltech.edu/~zhukov/infovis/world_of_music.htm World Of Music]
+* [http://www.tableausoftware.com/ Tableau]
+* [http://http://www.gapminder.org/ GapMinder]
+* [http://www.babynamewizard.com/namevoyager/lnv0105.html Name Voyager]
-/18: Volume Vis (Steve)
+== 11/29:  Aesthetic Issues in Vis ==
-Transfer functions
-function statistics (histograms)
-multi-dimensional
-contour spectrum
+Lecturer: Steve
-/16: Midterm 1
+Topics: Tufte principles
-/23: Vector and Tensor Visualization (Carlos)
+Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/Tufte.pdf Tufte.pdf]
-Differential Geometry in 3D: Div, Grad, Curl
-Revisit Unsteady vs. Steady flows
-Streamribbons, surfaces, tubes, streamlines and streaklines
-/25: Vector and Tensor Visualization (Claudio)
+References:
-LIC
+* Envisioning Information, Edward R. Tufte, Academic Press, 1990
-hyper LIC
+* Visual Explanations: Images and Quantities, Evidence and Narrative, Edward R. Tufte, Academic Press, 1997
-Topology-based techniques
-/30: ieee visualization 2007
+== 12/4: Aesthetic Issues in Vis ==
-Guest lecture: Yuan Zhou on simplification techniques
+Lecturer: Steve
-/1: ieee visualization 2007
+Topics: NPR and Illustrative techniques for Vis
-Guest lecture: Erik Anderson on Cosmology and EEG analysis
+Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/illustrative.html illustrative.html]
-/6: Vector and Tensor Vis (Carlos)
+vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/illustrative.zip illustrative.zip] includes DifferentialGeometry.vt as well as norm.120.vtk and angle.120.vtk volume datasets.
-Glyphs
-DTI techniques
-/8:  Aesthetic Issues in Vis (Claudio)
+References:
-Volume Illustration and NPR
-/13: Aesthetic Issues in Vis (Steve)
+*[http://www.cs.utah.edu/~gk/papers/vis03/ Curvature-based Transfer Functions], Gordon Kindlmann.
-Tufte 1
+*[http://www.cs.utah.edu/~gooch/NPRcourse_SIG99/NPRcourse.html SIGGRAPH 99 NPR course notes], Bruce and Amy Gooch.
+*[http://www.ii.uib.no/vis/research/tutorials/2007-vis-illustrative_vis/tutorial_notes.pdf Vis 07 Illustrative Vis course notes], Viola, Bruckner, Sousa, Ebert, and Correa.
+*[http://www.cs.princeton.edu/gfx/proj/sg05lines/ SIGGRAPH 05 Line Drawings course notes], Rusinkiewicz, DeCarlo, and Finkelstein.
-/15: Aesthetic Issues in Vis (Steve)
+== 12/6: Misc ==
-Tufte 2
-/20: Information Visualization (Carlos)
+Lecturer: Claudio
-parallel coordinates
-graph visualization
-/22: thanksgiving
+Topics: Data Management for Vis, Vis for presentation/discovery
-/27: Information Visualization (Claudio)
+== 12/10: Final Exam ==
-hierarchical data vis
-brushing/
-sizing text
-/29: Data Management for Vis
+TBA
-/4: Vis for presentation or vis for discovery?
-/6: Open research questions

Difference between revisions of "SciVisFall2007/Schedule"

Latest revision as of 22:55, 4 December 2007

8/21: Introduction to visualization

8/23: The visualization pipeline

8/28: Modeling Data for Visualization

Interpolation

Separability

Tensors

8/30: Modeling Data for Visualization

9/4: Elementary Plotting Techniques

9/6: Elementary Plotting Techniques

9/11: Color and Human Perception

9/13: Color and Human Perception

9/18 (a): Color and Human Perception

9/18 (b): 2D Visualization Techniques

9/20: Math refresher

9/25: 2D Visualization Techniques

9/27 (a): 2D Visualization Techniques

9/27 (b): Volume Vis

10/2: Volume Vis

10/4: Volume Vis

10/9: Fall break

10/11: Fall break

10/16: Volume Vis

10/18: Direct Volume Rendering

10/23: Midterm 1

10/25: Direct Volume Rendering

10/30: Cosmology and EEG analysis

11/1: Simplification Techniques

11/6: Direct Volume Rendering

11/8: Direct Volume Rendering

11/13: Tensor Visualization

11/15: 3D Vector Vis and Topology

11/20: Information Visualization

11/22: Thanksgiving

11/27: Information Visualization

11/29: Aesthetic Issues in Vis

12/4: Aesthetic Issues in Vis

12/6: Misc

12/10: Final Exam

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