Monocular depth estimation is an interesting and challenging problem as there is no analytic mapping known between an intensity image and its depth map. Recently there has been a lot of data accumulated through depth-sensing cameras, in parallel to that researchers started to tackle this task using various learning algorithms. In this paper, a deep sparse coding method is proposed for monocular depth estimation along with an approach for deterministic dictionary initialization.
@article{arxiv.1606.08315,
title = {Depth Estimation from Single Image using Sparse Representations},
author = {Yigit Oktar},
journal= {arXiv preprint arXiv:1606.08315},
year = {2016}
}