Accurate disparity estimation in light field using ground control points

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....

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Bibliographic Details
Published in:Computational visual media (Beijing) 2016-06, Vol.2 (2), p.173-181
Main Authors: Zhu, Hao, Wang, Qing
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Graphics
Computer Science
Computer vision
Field cameras
Ground based control
Image Processing and Computer Vision
Research Article
User Interfaces and Human Computer Interaction
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Summary: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.
ISSN:2096-0433
2096-0662
DOI:10.1007/s41095-016-0052-6