AV-Portal 3.23.3 (4dfb8a34932102951b25870966c61d06d6b97156)

Depth extraction from a single image based on block-matching and robust regression

Video in TIB AV-Portal: Depth extraction from a single image based on block-matching and robust regression

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Title
Depth extraction from a single image based on block-matching and robust regression
Title of Series
Part Number
13
Number of Parts
31
Author
Contributors
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Publisher
Release Date
2016
Language
English

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Subject Area
Abstract
In this paper, we propose a data-driven approach for automatically estimating a plausible depth map from a single monocular image. Instead of using complicated parametric model, we cast the estimation as a simple yet effective regression problem. We first retrieve semantically similar RGB and depth candidates from database using an activation descriptor. Then, initial estimates are synthesized based on block-matching and robust patch regression. Finally, a weighted median filter (WMF) is adapted to further align depth boundaries to RGB edges. We explicitly take texture-removing technique into consideration for visually plausible results. Experimental results on natural images show that the proposed method outperforms existing approaches in term of both qualitative and quantitative evaluations. © 2016, Society for Imaging Science and Technology (IS&T).
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