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Research Article | Open Access

Accurate disparity estimation in light field using ground control points

Hao Zhu1, Qing Wang1( )
School of Computer Science, Northwestern Polytechnic University, Xi’an 710072, China.
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Abstract

The recent development of light field cameras has received growing interest, as their rich angular information has potential benefits for many computer vision tasks. In this paper, we introduce a novel method to obtain a dense disparity map by use of ground control points (GCPs) in the light field. Previous work optimizes the disparity map by local estimation which includes both reliable points and unreliable points. To reduce the negative effect of the unreliable points, we predict the disparity at non-GCPs from GCPs. Our method performs more robustly in shadow areas than previous methods based on GCP work, since we combine color information and local disparity. Experiments and comparisons on a public dataset demonstrate the effectiveness of our proposed method.

Keywords

disparity estimationground control points (GCPs)light fieldglobal optimization

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Computational Visual Media
Volume 2 Issue 2,
June 2016
Pages 173-181
DOI: 10.1007/s41095-016-0052-6
Cite this article:
Zhu H, Wang Q. Accurate disparity estimation in light field using ground control points. Computational Visual Media, 2016, 2(2): 173-181. https://doi.org/10.1007/s41095-016-0052-6

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Revised: 01 December 2015
Accepted: 01 April 2016
Published: 17 May 2016
© The Author(s) 2016

This article is published with open access at Springerlink.com

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