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Illustrative Visualization and Volume Rendering

Illustrative Visualization and Volume Rendering. Peter Sikachev. Institute of Computer Graphics and Algorithms Vienna University of Technology. Outline. About TUVienna and vis-group Rendering and visualization Volume rendering

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Illustrative Visualization and Volume Rendering

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  1. Illustrative Visualization andVolume Rendering Peter Sikachev Institute of Computer Graphics and Algorithms Vienna University of Technology

  2. Outline • About TUVienna and vis-group • Rendering and visualization • Volume rendering • VolumeShop: an interactive system for direct volume illustration • Recent group work overview Peter Sikachev

  3. Outline • About TUVienna and vis-group • Rendering and visualization • Volume rendering • VolumeShop: an interactive system for direct volume illustration • Recent group work overview Peter Sikachev

  4. TUVienna • Urban campus • ~17,600 students • ~4,000 staff (1,800 – academic) • 19% foreign students • No tuition fees for EU/EEA/Switzerland students Peter Sikachev

  5. ICGA • Institute of computer graphics and algorithms • Occupies a complete floor + smth • 3 groups •  Algorithms and Data Structures Group • Computer Graphics Group • Pattern Recognition and Image Processing Group Peter Sikachev

  6. Computer Graphics Group • 1 full professor • 2 associate professors • 25 scientific staff people (PhD students, postdocs, exchange students etc) Peter Sikachev

  7. Österreichische Akademie der Wissenschaften Virtual Reality und Visualisierung Forschungs-gmbh GWI Research AKH Wien University of Bergen Norway PHILIPS Medical Systems Upper Austria University of Applied Sciences Visualization Sub-Group Peter Sikachev

  8. Outline • About TUVienna and vis-group • Rendering and visualization • Volume rendering • VolumeShop: an interactive system for direct volume illustration • Recent group work overview Peter Sikachev

  9. Computer Graphics Computer Graphics Rendering Visualization … Offline Rendering Real-Time Rendering Volume Visualization Information Visualization … Peter Sikachev

  10. Computer Graphics Computer Graphics How? What? Rendering Visualization … Offline Rendering Real-Time Rendering Volume Visualization Information Visualization … Peter Sikachev

  11. Computer Graphics Computer Graphics Rendering Visualization … Offline Rendering Real-Time Rendering Volume Visualization Information Visualization … Peter Sikachev

  12. Offline Rendering • Cinema • Advertisement Peter Sikachev

  13. Computer Graphics Computer Graphics Rendering Visualization … Offline Rendering Real-Time Rendering Volume Visualization Information Visualization … Peter Sikachev

  14. Real-Time Rendering • Games • 3D interactive applications [Zeller] Peter Sikachev

  15. Computer Graphics Computer Graphics Rendering Visualization … Offline Rendering Real-Time Rendering Volume Visualization Information Visualization … Peter Sikachev

  16. Volume Visualization • Healthcare • Industry • Geology • Forecast [Bruckner05] Peter Sikachev

  17. Computer Graphics Computer Graphics Rendering Visualization … Offline Rendering Real-Time Rendering Volume Visualization Information Visualization … Peter Sikachev

  18. Information Visualization • Databases • Networks • Software engineering [Wonka] Peter Sikachev

  19. Outline • About TUVienna and vis-group • Rendering and visualization • Volume rendering • VolumeShop: an interactive system for direct volume illustration • Recent group work overview Peter Sikachev

  20. 3D Texture • Example for a histological dataset • Convert a set of 2D scalar functions to a 3D scalar function • Consider as a regular grid Peter Sikachev

  21. Volume Ray Casting • Ray Casting • Sampling • Shading • Compositing Peter Sikachev

  22. Volume Ray Casting • Ray Casting • Sampling • Shading • Compositing Peter Sikachev

  23. Shading • Needed for a shape perception • Does not usually use a correct physical model No shading With shading Peter Sikachev

  24. Transfer Function • 3D function is not equivalent to the importance value • Mapping to optical properties is needed Direct mapping Using transfer function Peter Sikachev

  25. Transfer Function • Transfer function may depend on different parameters: • function value • gradient magnitude • segmentation • shape • size where 3D function optical properties Peter Sikachev

  26. Transfer Function Peter Sikachev

  27. Volume Ray Casting • Ray Casting • Sampling • Shading • Compositing Peter Sikachev

  28. Compositing • Several voxels projects onto one pixel – compositing is needed • Different compositing rules might be used: • Alpha-blending (DVR) • Maximum intensity projection (MIP) • Hybrid (MIDA) • … [Bruckner09] Peter Sikachev

  29. Outline • About TUVienna and vis-group • Rendering and visualization • Volume rendering • VolumeShop: an interactive system for direct volume illustration • Recent group work overview Peter Sikachev

  30. What is VolumeShop? • VolumeShop is not … • … an extensive general-purpose visualization class library  try VTK, VisIt, .. • … a medical image processing and visualization toolkit  try MeVisLab, Amira, … • … a scene-graph API and rendering framework  try OpenInventor, Orge, … Stefan Bruckner

  31. What is VolumeShop? • What does it do then? • VolumeShop is a prototyping platform for visualization research • Goal is to provide maximum flexibility to the developer • Provide easy-to-use facilities for common cumbersome tasks • Give developers the freedom of choice not to use them at all • Ease the transition from research prototypes to actual applications Stefan Bruckner

  32. Overview graphical front-end, project setup, property management, … VolumeShop application base classes, serialization, resource management, plugin mechanism, … VolumeShop core import, export, compositing, interaction, rendering, scripting, … VolumeShopplugins Stefan Bruckner

  33. Use Case Peter Sikachev

  34. Outline • About TUVienna and vis-group • Rendering and visualization • Volume rendering • VolumeShop: an interactive system for direct volume illustration • Recent group work overview Peter Sikachev

  35. Importance-Driven Visualization [Viola] • Motivation: show important features inside the volume, preserving context • Cut-aways • Ghosted views • Level of sparseness Peter Sikachev

  36. Motivation Peter Sikachev

  37. Maximum Importance Projection cylindrical conical Peter Sikachev

  38. Maximum Importance Projection cylindrical conical Peter Sikachev

  39. Average Importance Compositing image-space object space Peter Sikachev

  40. Visibility Preserving Compositing Peter Sikachev

  41. Levels of Sparseness opacity modulation & color saturation screen-door transparency volume thinning Peter Sikachev

  42. Exploded Views [Bruckner06] Peter Sikachev

  43. Exploded Views [Bruckner06] Peter Sikachev

  44. Context-Preserving Volume Rendering Motivation: large flat surface areas are unimportant These surfaces are highly lit [CVPR] Peter Sikachev

  45. Context-Preserving Volume Rendering Peter Sikachev

  46. Style Transfer Function [Bruckner07] Motivation: integrate multiple NPR techniques in one framework Peter Sikachev

  47. Style Transfer Function: Concept regular transfer function style transfer function Peter Sikachev

  48. Style Transfer Function: Results Peter Sikachev

  49. Style Transfer Function: Results Peter Sikachev

  50. [LiveSync] • A framework for combining 2D/3D views • Automatic viewpoint finding • Transfer function update • Region of interest growing • Importance-driven clipping Peter Sikachev

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