My research focuses on the perception of 3D shapes. I was the first psychologist to publish research using grasshopper. Now I’m working on my PhD dissertation and for part 2 I could use your help!
I have a theory about how people perceive 3D shapes and so far I’ve tested 20 shape-families (GH algorithms that generate abstract shapes) I’ve designed myself. That was part 1. Now for part 2, I need to test if the theory generalizes to all kinds of shapes out there. Naturally, the best test would be with shapes I did not design myself. Thus, my request here for 20 good shape algorithms.
- The shapes need to be abstract (i.e., not look like anything in particular) and should have a fair amount of complexity.
- The algorithm should have at least 2 manipulatable variables (preferably continuous) that produce changes in the structure of the objects.
- Each algorithm should generate at least a 20 objects.
- The shapes do not have to have any symmetry.
- A single shape from the algorithm needs to be well representable by less than 30K polygons, or a file size smaller than ~4MB when saved as an .obj.
- The generated shapes should have good surfaces (so that all the normals are pointing outwards).
If you’re interested, please message me (or email me at firstname.lastname@example.org). If you have questions please let me know! As compensation for your help, I can afford to send you $20 per algorithm. It’s coming from my personal funds (I don’t have a fancy grant or fellowship) so if you’re willing to just donate a cool shape-family I’d appreciate the charity!