A study on depth map generation using a light field camera and a monocular RGB camera based on deep learning

A depth map and an RGB image taken by a light field camera for training data are arranged in a dataset pair; the datasets are learnt through a deep learning method called pix2pix, which is a type of conditional generative adversarial network. We can generate depth maps using only a monocular mobile camera without the light field camera based on our proposed method. Low accuracy on depth is a technical issue for the light field camera; however, the proposed method improves the depth accuracy due to the generalization ability of neural networks.