Human is thought to learn to extract image features as important cues for depth estimation in the developmental process. In this paper, we make a hypothesis that pictorial depth cues are acquired so that disparities can be predicted well and make a model that extracts features appropriate for depth estimation from static images. The experiments with simulation and real environments show high correlation between estimated and real disparities.
