Difference between revisions of "2016 Winter Project Week/Projects/CommonGL"

Revision as of 14:17, 8 January 2016

Objective	Approach and Plan	Progress and Next Steps
Move forward on a set of code to do GPU computing with multiple target platforms in mind as described in these slides and videos.	Identify use cases that would be good for this approach Visualization Segmentation Registration Code review and refinement of Slicer OpenGL shader/texture classes Evaluate build and deployment issues on various platforms Test code performance on various platforms Implement one or more sample image algorithms and compare with CPU implementation Performance Ease of development, readability, maintainability... Scalability limits	Discussed motivation and implementation options with many members of the community Positive feedback on goals and opportunity Potential use cases identified as possible points of collaboration (Sandy Wells, Terry Yoo, Dan Blezek, Sudhanshu Semwal...) Code and architecture review Experimental compositing options (see sphere-subtract image above)

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 * [https://www.youtube.com/watch?v=_0K9vxgdwUU Video showing CT + MR compositing, nonlinear spatial transform, and interactive positioning of geometric objects]
 * [https://www.youtube.com/watch?v=MYx8xZstnPE Video showing smart editor tool implemented with GLSL]
+* Babybrain collaboration (Boston XTK/SliceDrop/Children's Hospital, Nicolas, Steve, Rudolph, Daniel...)
+** VJS https://github.com/FNNDSC/vjs
+** WebGL ray cast demo: http://fnndsc.github.io/vjs/#shaders_raycasting_adibrain
+=== Other WebGL / GLSL references ===
+* Image processing in WebGL: https://www.gitbook.com/book/projectseptemberinc/gl-react/details
+* Fun GLSL demos
+** http://glslsandbox.com
+** http://shadertoy.com
+* WebGL graphics library: http://threejs.org