arXiv:1606.08315 [cs.CV]AbstractReferencesReviewsResources
Depth Estimation from Single Image using Sparse Representations
Published 2016-06-27Version 1
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.
Categories: cs.CV
Keywords: single image, sparse representations, monocular depth estimation, deep sparse coding method, deterministic dictionary initialization
Tags: journal article
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