Recovering Surface Layout from an Image

摘要

Humans have an amazing ability to instantly grasp the overall 3D structure of a scene—ground orientation, relative positions of major landmarks, etc.—even from a single image. This ability is completely missing in most popular recognition algorithms, which pretend that the world is flat and/or view it through a patch-sized peephole. Yet it seems very likely that having a grasp of this “surface layout” of a scene should be of great assistance for many tasks, including recognition, navigation, and novel view synthesis.