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/psych_review_2017.

Paperclip Stimuli

Here we provide the full set of paperclip stimuli used in our view-dependency simulations.

Experimental Stimuli

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

Results

Samples

Here are some more examples of samples from our model.

Input	Sample1	Sample2		Input	Sample1	Sample2