  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.
