Depth map estimation based on geometric scene categorization

Recently there have been studies to predict 3D geometric scene categories from a single monocular image, where estimation of 3D scene structure is formulated as a geometric scene categorization (GSC) problem. This paper employs the GSC method to build a depth map generation system for 2D-to-3D image conversion. We show how the GSC algorithm can be effectively extended to solve the problem of estimating depth map from a single image. Experimental results demonstrate that our proposed method gives perceptually plausible depth maps, which can be applied to 2D-to-3D image conversion.