1. A computer-implemented method comprising: receiving a plurality of images taken from perspectives of a 3D scene; receiving input identifying at least some of the objects appearing in the plurality of images; analyzing the plurality of images with a visual attention model; based on the analysis, determining identified objects that are predicted to receive visual attention across the perspectives of the 3D scene; and additionally determining the degree to which the objects that are predicted to receive visual attention are robust respective to changes within visual properties of the 3D scene.