$360^o$ Surface Regression with a Hyper-Sphere Loss

2 code implementations • 16 Sep 2019 • Antonis Karakottas, Nikolaos Zioulis, Stamatis Samaras, Dimitrios Ataloglou, Vasileios Gkitsas, Dimitrios Zarpalas, Petros Daras

We present a dataset of $360^o$ images of indoor spaces with their corresponding ground truth surface normal, and train a deep convolutional neural network (CNN) on the task of monocular 360 surface estimation.

regression Surface Normals Estimation