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Scientific Visualization: GPU Based ray-casting to analyse data

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Scientific_Visualization

Scientific Visualization: GPU Based ray-casting to analyse data

In this section I implemented following tasks for volume stored in 3D textures

  1. Average intensity projection.
  2. A first-hit ray traversal scheme for variable thresholds to visualize isosurfaces.
  3. Improved the intersection search using a binary search method.
  4. A function get_gradient() to calculate the gradient at a given volume sampling position.
  5. The surface normal for the found intersection point and a basic illumination for the iso-surface.
  6. Illumination calculation for the correct display of surface shadows.
  7. A front-to-back compositing traversal scheme.
  8. Used the generated volume gradients to calculate the local illumination for the volume samples during the compositing.
  9. Extended the compositing algorithm with opacity correction.
  10. Based on the solution of assignments 2 and 3, extracted a second isosurface at a different threshold and use front-to-back compositing to visualize both isosurfaces in accordance with the transfer function. (2nd file)

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