A Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenes
(A). Two input scenes. (B). Probability maps, i.e., the probability of a scene patch of 48×48 pixels being an animal or car at each pixel. (C). Object candidates (i.e., the ellipses) sampled from the PDs of coarse object geometry estimated from training scenes were overlaid on the probability maps so that the object candidates covered most pixels that had high probability. The dashed and sold ellipses in upper panel were for animal heads and bodies respectively.