Dear all, I posted the message below to the Academic & Research list, where I was advised to post here.
I am a computer graphics professor and one of my areas of expertise is sampling. I have recently designed a family of new supersampling approaches (better kernels) and found them to work very well in my own prototype. The resulting images are sharper and less aliased than those obtained with standard kernels such as box, tent, mitchell-netravali, catmull-rom etc. The downside is that noise can become more apparent if present. The implementation is not particularly complicated, and it was a simple matter to modify pbrt-v2 to support these new kernels. As the next step, I decided to implement them in Blender, figuring that this would benefit a larger audience. In the process, I have been somewhat confused with what I can infer from Blender's source-code. Is there a kind and soul reading this list who is interested in this topic, knows a bit about the workings of Blender, and available to exchange a few words with me? It seems as though it may be possible to improve Blender's sampling even disregarding my own research efforts. Kind regards, Tev _______________________________________________ Bf-committers mailing list Bf-committers@blender.org http://lists.blender.org/mailman/listinfo/bf-committers