As you suspected, I'm developing solutions in the areas I work in specifically (stuff I'm "knee-deep" in).
I read the usual CS papers, plus lots of PhDs thesis. I follow the references in the bibliographies like crazy, and I also look up the writer's on the 'Net and see what other stuff they've done/written.
It feels like detective work, actually: the most-cited papers are frequently not the best. There's tons of researchers working in obscurity but who nevertheless have useful results.
I see my role as taking advances from research and bringing them into practical use.
It feels like detective work, actually: the most-cited papers are frequently not the best. There's tons of researchers working in obscurity but who nevertheless have useful results.
What are some examples of the best research that is obscure?
Sven Havemann's PhD on "Generative Mesh Modelling"[0] is brilliant. At this point, it could be implemented on top of Blender 3Ds newest modelling kernel.
In general, stack languages are great for graphics in both 2 dimensions (PostScript) and 3 dimensions (GML)[1].
I read the usual CS papers, plus lots of PhDs thesis. I follow the references in the bibliographies like crazy, and I also look up the writer's on the 'Net and see what other stuff they've done/written.
It feels like detective work, actually: the most-cited papers are frequently not the best. There's tons of researchers working in obscurity but who nevertheless have useful results.
I see my role as taking advances from research and bringing them into practical use.