CS 453/553 -- Spring Quarter 2019
Test #1 Review
This page was last updated: April 25, 2019
This will be a multiple choice test on a Scantron (fill-in-the-bubble) form.
From the OSU Test Scoring User Guide:
"The scanner reads reflective optical marks and only a number 2 or softer (i.e., a smaller number)
lead pencil should be used.
Ball Point Pen and Marker type pencils should not be used."
I hardly ever use pencils anymore, so don't come up and ask to borrow one.
I won't have any.
Don't try to second-guess me about patterns in the answers -- I have a program that randomly tells me what letter to put each right answer under.
Test date and time:
| Wednesday, May 1 (=April 31), 2019 |
| 9:00 - 9:50 |
| Kearney 112 |
Test rules:
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The test is worth 100 points.
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It is closed notes, closed Internet, closed friends.
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You are responsible for
(1) what is in all handouts,
(2) what was said in class,
(3) what you have done in the projects.
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The test is over promptly at 9:50.
(There is another class right behind ours.)
Only the tests that have been turned in by then will be graded.
The test can potentially cover any of the following topics:
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Visualization = Data + Geometrize + Graphics
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Scalar visualization:
Point clouds, row-of-corn problem, Moire patterns, jitter
Cutting planes, contours, interpolated color plots, wireframe isosurfaces, polygonal isosurfaces.
Derived quantities: gradient, radius.
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Range sliders: what they are, why we use them.
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Color:
RGB, HSV, L-a*-b*, CMYK color spaces.
Eye: rods and cones, acuity, color sensitivity.
Know the Luminance equation: L = .30*R + .59*G + .11*B
Using the Luminance Equation to determine colors that shouldn't be used on top of each other.
Different transfer functions used for mapping scalar values to color and alpha (rainbow, heated object, etc.).
Color gamuts.
Rules of thumb when using color in scientific and engineering visualization.
Simultaneous contrast, Mach bands, afterimages.
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Hyperbolic Geometry:
Why do it?
Polar coordinate version, Cartesian coodinate version.
Effect of the parameter K.
How to break a single line up into lots of lines.
Why it's necessary.
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Vector visualization:
Vector clouds.
Particle advection.
Streamlines,
ribbon traces, blob traces.
First order versus second order accuracy.
Derived quantities: curl, divergence.
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ParaView:
You won't need to know concepts of the form "How do you do xxx in ParaView?".
You might need to know concepts of the form "Why did you need to do xxx in ParaView?".
- Project #1: Grayscale point cloud
- Project #2: Color point cloud and range sliders
- Project #3: Scalar Visualization using ParaView
- Project #4: Hyperbolic Geometry
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Hint: You won't need a calculator.