Visual Data Analytics at TU München | Flashcards & Summaries

# Lernmaterialien für Visual data analytics an der TU München

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Difference between Curvelinear and unstructured grid?

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Unstructered Grid you also need to save neighborhood points

The cells are tetrahedra or hexahedra

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Name an algorithm that is commonly used in INDIRECT volume visualization.

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MC-algorithm (Marching Cubes)

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Isolines properties

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• Isolines are always closed curves
• They never intersect with each other and they don't self-intersect
• Always orthogonal to scalar field's gradient
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TESTE DEIN WISSEN

Explain the filtering/enhancement stage. Give at least two examples.

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TESTE DEIN WISSEN

It is a process to obtain useful data (e.g., 3D volume)

Examples:

• Conversion of data format
• Co-registration of different data sets
• Interpolation/approximation of missing values
• Remove nonrelevant data
• Cleaning and denoising
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TESTE DEIN WISSEN

In which stage of the visualization pipeline are the viewpoint and

lighting parameters specified?

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TESTE DEIN WISSEN

Rendering

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In which stage of the visualization pipeline are colors assigned to every voxel?

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Visualization mapping

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Rendering (4th step)

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Image, video or something else as visualisation

• Decide viewpoint
• Visibility calculation
• Shading/illumination so it looks natural
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TESTE DEIN WISSEN

What are the independent and dependent variables in a 3D spatial curve

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???

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How is a cartesian grid different from

a regular grid?

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TESTE DEIN WISSEN

dx the same as dy since it is  evenly spaced in all direction.

A regular grid does not need to have it,

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TESTE DEIN WISSEN

Rectilinear Grid - difference to cartesian or regular

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TESTE DEIN WISSEN

Varying samples of distances between dx and dy,

We can no longer compute the positions easily so we need to save them

Lösung ausblenden
TESTE DEIN WISSEN

What is a curvilinear grid? How is it characterized?  Which information needs to be specified explicitly for such a grid?

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TESTE DEIN WISSEN
• Not orthogonal
• We need to store all the grid points
• But neighborhood information is still stored
• Increase or decrease indices
• It can have a high resolution in some places and bigger cells in other areas.
Lösung ausblenden
TESTE DEIN WISSEN

Discuss independent vs. dependent variables in data. Give at least two examples each.

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TESTE DEIN WISSEN

Independent variables

Dimension of the domain of the problem

• Time
• 2D/3D space

Dependent variables

Type and dimension of the data

• Temperature
• Density
• Values
• Velocity vectors
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Q:

Difference between Curvelinear and unstructured grid?

A:

Unstructered Grid you also need to save neighborhood points

The cells are tetrahedra or hexahedra

Q:

Name an algorithm that is commonly used in INDIRECT volume visualization.

A:

MC-algorithm (Marching Cubes)

Q:

Isolines properties

A:
• Isolines are always closed curves
• They never intersect with each other and they don't self-intersect
• Always orthogonal to scalar field's gradient
Q:

Explain the filtering/enhancement stage. Give at least two examples.

A:

It is a process to obtain useful data (e.g., 3D volume)

Examples:

• Conversion of data format
• Co-registration of different data sets
• Interpolation/approximation of missing values
• Remove nonrelevant data
• Cleaning and denoising
Q:

In which stage of the visualization pipeline are the viewpoint and

lighting parameters specified?

A:

Rendering

Q:

In which stage of the visualization pipeline are colors assigned to every voxel?

A:

Visualization mapping

Q:

Rendering (4th step)

A:

Image, video or something else as visualisation

• Decide viewpoint
• Visibility calculation
• Shading/illumination so it looks natural
Q:

What are the independent and dependent variables in a 3D spatial curve

A:

???

Q:

How is a cartesian grid different from

a regular grid?

A:

dx the same as dy since it is  evenly spaced in all direction.

A regular grid does not need to have it,

Q:

Rectilinear Grid - difference to cartesian or regular

A:

Varying samples of distances between dx and dy,

We can no longer compute the positions easily so we need to save them

Q:

What is a curvilinear grid? How is it characterized?  Which information needs to be specified explicitly for such a grid?

A:
• Not orthogonal
• We need to store all the grid points
• But neighborhood information is still stored
• Increase or decrease indices
• It can have a high resolution in some places and bigger cells in other areas.
Q:

Discuss independent vs. dependent variables in data. Give at least two examples each.

A:

Independent variables

Dimension of the domain of the problem

• Time
• 2D/3D space

Dependent variables

Type and dimension of the data

• Temperature
• Density
• Values
• Velocity vectors

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Universität Wien

##### Smart Data Analytics

Universität Koblenz-Landau