Learning to Predict High-Quality Edge Maps for Room Layout Estimation

Abstract

The goal of room layout estimation is to predict the three-dimensional box that represents the room spatial structure from a monocular image. In this paper, a deconvolution network is trained first to predict the edge map of a room image. Compared to the previous fully convolutional networks, the proposed deconvolution network has a multilayer deconvolution… (More)
DOI: 10.1109/TMM.2016.2642780

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