Distinguishing shadows from surface boundaries using local achromatic cues
Fig 5
Stimuli that maximize + minimize the occlusion probability predicted by the GFB and FRF models trained to distinguish shadows from occlusions (oset-1, oset-2).
(a) Left: Stimuli obtained via numerical optimization with highest predicted occlusion probability by the GFB model. We see consistent results for both training sets, over multiple optimizations. Right: Same as left column, but with highest predicted shadow probability by the GFB model (equivalently, lowest predicted occlusion probability). (b) Same as (a) but for FRF-4. (c) Same as (a) but for FRF-6. (d) Same as (a) but for FRF-10.