Difference between revisions of "Project Week 25/Next Generation GPU Volume Rendering"
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Determine a sensible way to integrate all those contribution in VTK. | Determine a sensible way to integrate all those contribution in VTK. | ||
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− | + | * Minutes of the meeting held during project week at the bottom of this page | |
+ | * In summary, for the first iteration of the new GPU raycasting: | ||
+ | ** Latest VTK may provide sufficient hooks to modify GLSL of the raycast volume shader. | ||
+ | ** The group will provide simple examples that should be easy to implement with the new functionality and verify that it is indeed the case. If not, we will create a pull request with the function added to the GPU raycast shader to be able to inject GLSL code. | ||
+ | ** Creating the shader code may still be complicated. Kitware will propose a high level GLSL API to facilitate the process and will submit to this group for feedback. | ||
+ | ** Multiple volume support is in development at Kitware. | ||
+ | ** Kitware will consider enabling context sharing across mappers and widgets. SINTEF will create a pull request in VTK with their implementation of the concept. | ||
+ | * New VTK-m may be a solution for GPU volume processing in the long term. | ||
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* Be able to create volume processing pipelines that connect CPU and GPU processing seemlessly | * Be able to create volume processing pipelines that connect CPU and GPU processing seemlessly | ||
* Investigate the capabilities of vtk-m | * Investigate the capabilities of vtk-m | ||
+ | |||
+ | ===== Addendum ===== | ||
+ | * [https://blog.kitware.com/vtk-8-0-0/ VTK 8.0.0 release notes] | ||
+ | * [http://m.vtk.org/ VTK-M] |
Latest revision as of 09:04, 30 June 2017
Home < Project Week 25 < Next Generation GPU Volume Rendering
Back to Projects List
Key Investigators
- Simon Drouin (Montreal Neurological Institute, Canada)
- Steve Pieper (Isomics Inc., USA)
- Andras Lasso (Queen's University, Canada)
- Ole Vegard Solberg (SINTEF, Norway)
- Alvaro Sanchez (Kitware Inc., USA Remote attendance)
- Sankhesh Jhaveri (Kitware Inc., USA Remote attendance)
Project Description
Objective | Approach and Plan | Progress and Next Steps |
---|---|---|
Develop a specification for the next generation of GPU volume processing and rendering in VTK and Slicer The specification should support
|
Compare the architectures of different existing projects where parts of the required functionality has been implemented:
Determine a sensible way to integrate all those contribution in VTK. |
|
Illustrations
https://www.dropbox.com/s/bqg1fyd42z6lawn/prism-demo-simon-drouin-imic-2016.mp4?dl=0
3D Image Filters in WebGL2
Multivolume rendering and nonlinear transforms in WebGL2
Background and References
Some notes about sharing GLSL code between desktop OpenGL and WebGL
Schott M, Pascal Grosset AV, Martin T, Pegoraro V, Smith ST, Hansen CD. Depth of Field Effects for Interactive Direct Volume Rendering. Comput Graph Forum. 2011 Jun;30(3):941-50.
Volumetric shadows and light scattering:
Kniss J, Premoze S, Hansen C, Shirley P, McPherson A. A model for volume lighting and modeling. IEEE Trans Vis Comput Graph. 2003;9(2):150–62.
Ambiant occlusion (this one should be possible to do with ray casting, but not as efficient):
Hernell F, Ljung P, Ynnerman A. Local Ambient Occlusion in Direct Volume Rendering. IEEE Trans Vis Comput Graph. 2010 Jul;16(4):548–59.
Planning hangout June 13
(Simon, Jc, Alvaro, Sankhesh, Steve, Hina)
Recent features in VTK Volume Rendering (in master, blog post coming)
- Volume peeling - translucent geometry with volumes in GPU ray cast mapper
- Render to texture
- 2D lookup tables (value and gradient magnitude)
Work in progress
- Overlapping volumes - multiple inputs to mapper
- vtk charts to work with 2D transfer functions
Slicer to migrate to latest version once cmake hierarchy is sorted out (Jc)
Questions / discussion points:
- Ray cast vs view aligned plane-based algorithms
- depth of focus, shadows, diffuse lighting...
- How to integrate multiple features
- Nonlinear transformation
- Custom shaders
- Dynamic shader generation in python
- multiple components
- RGBA
- Independent components?
- 2D lookup tables
- Volumes that live on the GPU
- sharing across contexts
- use as input textures and render targets
- tiling?
- streaming?
- Large volumes?
- Mesa backend?
- Offscreen support for OpenGL2 backend should work in VTK now
Hangout at Project Week
- Attendees: Alvaro, Sankhesh, Aashish, Andras, Steve, Jc, Simon, Ole
- Open Questions:
- What is best to accomplish at Project Week?
- What architecture is best for the future and how can we get there?
- Alvero announced that volume peeling supports the OpenGL render pass, which could support custom shaders
- two calls: Prereplace and Postreplace (as in vtkPolyDataMapper)
- newer OpenGL2 version is much more flexible than the older version in OpenGL1
- allows user to replace parts of the rending process
- Need to be able to change
- per-sample ray accumulating value
- compositing function
- initialization of ray path parameters
- control over when ray terminates
- uniforms
- textures
- RenderPath vs RenderTags example?
- Pattern is used in the vtk volume rendering mapper
- existing implementation serves as a working example for customization
- may need to define new spots to inject code (TBD)
Debugging
- Pattern to add unique identifiers to shader variables
- There are vtk hooks to help debug
- Access to compiler errors, and full shader scene
- Can use an apitrace program (linux and mac) to track opengl state
How to make it easier to customize?
- e.g. coloring samples by depth for 4D US
- high level API?
- set of worked out examples for common use cases
Next steps
- At project week:
- collect examples of things that should be simple
- provide feedback and suggestions to vtk developer
- At Kitware:
- propose a high level API for feedback
- multiple overlapping volumes
- look at sharing volumes across mappers (class to represent a volume in memory)
- shared GL context (see CustusX for worked out example of a "hacked in" way to support this)
Long-Term
- Be able to create volume processing pipelines that connect CPU and GPU processing seemlessly
- Investigate the capabilities of vtk-m