Visual data analytics at TU München

Flashcards and summaries for Visual data analytics at the TU München

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Diffuse reflection

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How can a perfect mirror be simulated via the Phong illumination model? 

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Name the three components of the Phong illumination model. 

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Compositing Schemes

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Isolines properties

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What is a transfer function? Which visual/optical properties are assigned by it? 

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

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Voronoi Diagram

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Local vs global Delauney

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Delaunay triangulation

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Challenges with triangulation

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 Main application of flow visualization

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Exemplary flashcards for Visual data analytics at the TU München on StudySmarter:

Visual data analytics

Diffuse reflection

Spreads in all directions

cos(angle)

angle -> between light vector l and normal n 

Visual data analytics


How can a perfect mirror be simulated via the Phong illumination model? 

Reflected light ray = view vector

Visual data analytics


Name the three components of the Phong illumination model. 

  • Ambient
  • Diffuse
  • Specular

Visual data analytics

Compositing Schemes

  • Surface rendering/first hit
  • Average
  • Maximum

Visual data analytics

Isolines properties

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

Visual data analytics

What is a transfer function? Which visual/optical properties are assigned by it? 

  • Mapping is performed via a transfer function
  • Associate values to color and opacity

Visual data analytics

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

MC-algorithm (Marching Cubes)

Visual data analytics

Voronoi Diagram

  • Related to Delaunay
    • Voronoi samples are vertices in Delauney triangulation
  • You have a point and you search for the nearest neighbour
  • Points in voronoi regions are closer to the respective sample than to any other one

Visual data analytics

Local vs global Delauney

  • Edge is locally Delaunay
  • But it is not Delaunay everywhere

Visual data analytics

Delaunay triangulation

  • Optimal triangulation
  • The circumcircle of any triangle does not contain another point of the set

Visual data analytics

Challenges with triangulation

  • Many different triangulations exist
  • Challenge to find the right connectivity for a “good” triangulation

Visual data analytics

 Main application of flow visualization

  • Motion of fluids
  • Geometric boundary conditions
  • Velocity/flow field
  • Conservation of mass, energy, and momentum
  • Navier-Stokes equations
  • Computational fluid dynamics

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