Shape Perception as Bayesian Inference - Supplementary Materials
This page contains the supplementary materials for our paper
Erdogan G., Jacobs R. A. (in prep.) Shape Perception as Bayesian Inference of 3D Object-centered Representations.
Code for our 3D shape inference model is available online at https://github.com/gokererdogan/Infer3DShape/releases/tag/ro3Dpaper.
Here we provide the full set of paperclip stimuli used in our view-dependency simulations.
In the paper, we only show one example stimuli. Below you can see the full set of 90 images used in the experiment. Variations cs: change part size, ap: add part, rp: remove part, mf: change docking face of part. d2 (depth 2) and d3 (depth 3) refer to the level at which the manipulation is applied.
|Base||cs d2||cs d3||ap d2||ap d3||rp d2||rp d3||mf d2||mf d3|
Here are some more examples of samples from our model.